Risk monitoring and analyzing method and system for intrauterine device

Abstract

The invention provides an intrauterine device risk monitoring analysis method and system, and relates to a data processing technology, a target part of an intrauterine target is scanned to obtain scanned image data, an intrauterine device is selected and adjusted based on the scanned image data and feedback data, and the corresponding intrauterine device can be adaptively selected according to the shape of the target part of a patient. According to the method, the matching degree of the intrauterine device and the target part is improved, user evaluation is collected, and system evaluation and Meta analysis results of adverse reactions of different contraceptives of a plurality of systems can be integrated through an umbrella-shaped evaluation method, so that more comprehensive evidence support is provided for curative effect and safety.

Description

Technical Field

[0001] This invention relates to data processing technology, and more particularly to a method and system for monitoring and analyzing the risks of intrauterine devices (IUDs). Background Technology

[0002] Intrauterine devices (IUDs), as a highly effective, safe, and reversible long-term contraceptive method, have been widely used clinically worldwide. They are placed inside the uterine cavity and interfere with fertilization and implantation processes through a local reaction, thereby achieving contraception. However, although IUDs generally have a high safety profile, certain risks still exist during implantation and use, such as pain, abnormal bleeding, and pelvic infection. Therefore, risk monitoring and analysis of IUD implantation suitability and usage status are crucial.

[0003] In existing technologies, the selection of an intrauterine device (IUD) is the first critical step in risk control. Currently, clinical practice mainly relies on the doctor's subjective experience, combined with auxiliary measurements such as ultrasound or uterine probes. For example, doctors measure the length and cross-sectional width of the uterine cavity using two-dimensional ultrasound, or measure the depth of the uterine cavity using a uterine probe, as the basis for selecting the IUD model and specifications. However, the uterine cavity is a complex three-dimensional structure with significant individual differences. Therefore, this method is highly dependent on the operator's experience and subjective judgment. This often results in only a rough size match when selecting an IUD, leading to poor adaptation between the selected IUD and the patient's uterine cavity shape. Consequently, abnormal local stress or displacement can easily occur between the IUD and the uterine wall after implantation.

[0004] Therefore, how to select the appropriate intrauterine device (IUD) based on the patient's uterine cavity morphology to improve the compatibility between the IUD and the uterine cavity has become an urgent problem to be solved. Summary of the Invention

[0005] This invention provides a method and system for monitoring and analyzing the risks of intrauterine devices (IUDs), which can select the appropriate IUD based on the morphological adaptability of the patient's target site, thereby improving the compatibility between the IUD and the target site.

[0006] A first aspect of the present invention provides a method for monitoring and analyzing the risks of intrauterine devices, comprising: The target site of the contraceptive target is scanned to obtain scan image data. A site model is constructed based on the scan image data. The first contraceptive device is selected according to the fit between the site model and the contraceptive device model. In response to the analysis request, the system retrieves the data collected by the first intrauterine device, including user feedback data and captured image data. When it is determined that the collected data is user feedback data, the first intrauterine device is replaced or adjusted based on the user feedback data. When the collected data is determined to be captured image data, image analysis is performed on the captured image data to obtain image feedback information. Based on the image feedback information, the adjustment position of the first contraceptive device is determined, and the adjustment position is adjusted.

[0007] Optionally, in one possible implementation of the first aspect, selecting the first intrauterine device based on the fit between the site model and the intrauterine device model includes: Determine the center point of the part model; The center point of each type of IUD model is sequentially set at the center point of the aforementioned location to obtain the placement model; The first IUD is selected based on the lateral and longitudinal compatibility of each IUD model and the location model within the placement model.

[0008] Optionally, in one possible implementation of the first aspect, selecting the first intrauterine device based on the lateral and longitudinal fit of each intrauterine device model and the site model within the placement model includes: Based on the lateral fit between the transverse arm of each IUD model and the location model within the placement model, a support model is selected; Based on the longitudinal fit between the longitudinal arm of the support model and the part model, the first contraceptive device is selected.

[0009] Optionally, in one possible implementation of the first aspect, selecting the support model based on the lateral fit between the transverse arm of each IUD model and the location model within the placement model includes: The contact state between the transverse arm of each IUD model and the uterine wall of the location model is obtained as the lateral fit degree, which includes the gap state and the compression state. The contraceptive model with a lateral fit of gap is considered an unfit model, and the unfit model is discarded. The contraceptive model with a lateral fit in a squeezed state was selected as the model; The number of contacts between the transverse arm and the corresponding contact fulcrum of the uterine wall in the selection model is obtained, and the degree of deformation of the uterine wall at each contact fulcrum is obtained. Select a model whose contact number is equal to the preset number and whose deformation degree is within the preset deformation range as the support model.

[0010] Optionally, in one possible implementation of the first aspect, selecting the first contraceptive device based on the longitudinal fit between the longitudinal arm of the support model and the part model includes: Obtain the upper limit distance between the intersection point of the IUD model and the internal cervical os of the site model; The lower limit distance of the effective dose corresponding to the IUD is retrieved, and the restriction interval is determined based on the lower limit distance and the upper limit distance, and the restriction interval is used as the longitudinal fit. Obtain the longitudinal length of the longitudinal arm of the support model, select the support model whose longitudinal length is within the longitudinal fit range as the first model, and retrieve the contraceptive device corresponding to the first model as the first contraceptive device.

[0011] Optionally, in one possible implementation of the first aspect, when the collected data is determined to be captured image data, image parsing is performed on the captured image data to obtain image feedback information, the adjustment position of the first contraceptive device is determined based on the image feedback information, and the adjustment position is adjusted, including: When the collected data is determined to be captured image data, the captured image data is analyzed to obtain image feedback information, which includes displacement feedback points and friction feedback points. When the image feedback information is determined to be the displacement feedback point, the horizontal arm where the displacement feedback point is located in the first IUD is taken as the adjustment position; The adjustment position of the first model corresponding to the first contraceptive device is increased to obtain the adjusted first model; When the image feedback information is determined to be the friction feedback point, the horizontal arm and / or vertical arm where the friction feedback point is located in the first insulator is used as the adjustment position; The adjustment position of the first model corresponding to the first IUD is reduced to obtain the adjusted first model.

[0012] Optionally, in one possible implementation of the first aspect, increasing the adjustment position of the first model corresponding to the first contraceptive device to obtain the adjusted first model includes: Construct a re-examination model corresponding to the captured image data, and update the first model of the first contraceptive device into the site model to obtain the initial examination model; The re-inspection model and the initial inspection model are aligned based on the part model, the overlap ratio of the first model in the re-inspection model and the initial inspection model is identified, and the non-overlap ratio is determined based on the overlap ratio. The preset length corresponding to the preset proportion interval in the preset displacement lookup table is determined as the increase length. The preset displacement lookup table has a one-to-one correspondence between the preset proportion interval and the preset length. Based on the increased length, the adjustment position of the first model corresponding to the first contraceptive device is increased to obtain the adjusted first model.

[0013] Optionally, in one possible implementation of the first aspect, the step of reducing the adjustment position of the first model corresponding to the first contraceptive device to obtain the adjusted first model includes: Obtain the area of ​​uterine wall damage in the captured image data; The preset length corresponding to the preset area range in the preset friction comparison table is determined as the reduction length. The preset friction comparison table has a one-to-one correspondence between the preset area range and the preset length. Based on the reduction in length, the adjustment position of the first model corresponding to the first contraceptive device is reduced to obtain the adjusted first model.

[0014] Optionally, in one possible implementation of the first aspect, it also includes: The model size of the model corresponding to the contraceptive target is stored in a one-to-one correspondence with the adjusted first model.

[0015] A second aspect of the present invention provides an intrauterine device risk monitoring and analysis system, comprising: The scanning module is used to scan the target site of the contraceptive target to obtain scan image data, construct a site model based on the scan image data, and select a first contraceptive device according to the compatibility between the site model and the contraceptive device model. The response module is used to respond to analysis requests and retrieve the collected data from the first contraceptive device, including user feedback data and captured image data. The feedback module is used to replace and adjust the first intrauterine device based on the user feedback data when it is determined that the collected data is user feedback data. The capture module is used to determine that the collected data is captured image data, perform image parsing on the captured image data to obtain image feedback information, determine the adjustment position of the first contraceptive device based on the image feedback information, and adjust the adjustment position.

[0016] A third aspect of the present invention provides a storage medium storing a computer program, which, when executed by a processor, is used to implement the first aspect of the present invention and various methods possibly involved in the first aspect.

[0017] The beneficial effects of this invention are as follows: 1. This invention involves scanning the target area of ​​the patient and constructing a three-dimensional model of the area, while the doctor makes a subjective prediction based on ultrasound and subjective experience. An objective selection is made based on the compatibility between the three-dimensional model and the IUD model, thereby reducing the risk of adverse reactions such as displacement, pain, or dislodgement after IUD implantation. Furthermore, a feedback adjustment mechanism is used to analyze re-examination data to obtain actual image feedback information of the IUD in the body, such as displacement or friction, allowing for customized adjustments, thus significantly improving individualized fit and reducing risks.

[0018] 2. This method employs a two-stage selection process for compatibility. First, it assesses lateral compatibility to select the support model and analyzes the compression state. By ensuring the number of contact points and the degree of uterine wall deformation are within a preset range, and eliminating models with gaps, it balances the stable support of the IUD's transverse arm with the issue of excessive compression. Second, based on lateral compatibility, it selects the IUD based on longitudinal compatibility. The upper limit distance is determined by the actual position of the patient's internal cervical os, while the lower limit distance is determined by the effective dosage of the IUD. This multi-dimensional selection process, prioritizing lateral stability followed by longitudinal safety and effectiveness, significantly improves compatibility.

[0019] 3. This solution categorizes adverse reactions into displacement feedback points and friction feedback points. For displacement caused by insufficient support, the solution calculates the non-overlapping percentage by comparing the re-inspection model with the initial inspection model, and then uses a preset displacement reference table for adjustment. For friction caused by excessive size, the solution identifies the area of ​​uterine wall damage in the re-inspection data and then uses a preset friction reference table for adjustment. This allows for continuous optimization of the IUD model and enables the storage of individualized data, providing a better data foundation for subsequent treatment. Attached Figure Description

[0020] Figure 1 A flowchart of the intrauterine device risk monitoring and analysis method provided by the present invention; Figure 2 A schematic diagram of a contact fulcrum provided by the present invention; Figure 3 This is a schematic diagram of a re-inspection information provided by the present invention; Figure 4 This is a schematic diagram of the intrauterine device risk monitoring and analysis system provided by the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein.

[0023] It should be understood that in the various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0024] It should be understood that in this invention, "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units that are explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to such process, method, product, or device.

[0025] It should be understood that in this invention, "multiple" refers to two or more. "And / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects are in an "or" relationship. "Contains A, B, and C", "Contains A, B, and C" means that all three A, B, and C are contained; "Contains A, B, or C" means that one of A, B, and C is contained; "Contains A, B, and / or C" means that any one, two, or three of A, B, and C are contained.

[0026] It should be understood that in this invention, "B corresponding to A", "B corresponding to A", "A and B correspond", or "B and A correspond" means that B is associated with A, and B can be determined based on A. Determining B based on A does not mean determining B solely based on A; B can also be determined based on A and / or other information. Matching A and B is defined as a similarity between A and B that is greater than or equal to a preset threshold.

[0027] Depending on the context, "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection."

[0028] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0029] This invention provides a method for monitoring and analyzing the risks of intrauterine devices, such as... Figure 1 As shown, steps S1-S4 are included: S1, scan the target site of the contraceptive target to obtain scan image data, construct a site model based on the scan image data, and select the first contraceptive device according to the fit between the site model and the contraceptive device model.

[0030] The target site can be the uterine cavity.

[0031] It's important to note that current methods largely rely on two-dimensional measurements such as ultrasound, combined with the doctor's personal experience. However, the morphology of the target site exhibits complex three-dimensional individual differences. This discrepancy between two-dimensional subjective experience and the actual three-dimensional morphology is the core reason for adverse reactions such as IUD displacement, pain, or expulsion after placement—a serious morphological mismatch exists. Our approach aims to replace subjective experience-based estimation with three-dimensional model comparison. By scanning the patient's uterine cavity and constructing a personalized site model, we can virtually test-fit a standardized IUD model against the patient's model before actual placement, automatically selecting the most suitable and compatible model in three-dimensional space—the primary IUD.

[0032] Among them, the contraceptive target is the target user who needs to have an intrauterine device placed. The scanned image data can be 3D ultrasound, CT or MRI image data after scanning the contraceptive target. Subsequently, based on the scanned image data, a site model can be constructed through image processing and three-dimensional reconstruction technology, that is, a three-dimensional model of the uterine cavity.

[0033] It's not hard to understand that the process involves several steps. First, data collection involves scanning the target user to obtain image data of the target area. Next, the target area of ​​the patient is modeled based on the image data. This involves using a computer to process the raw data into a visual and analyzable 3D uterine model specific to the patient. Finally, virtual matching involves comparing this patient model with the hospital's standard model library one by one and selecting the most suitable contraceptive device.

[0034] In some embodiments, step S1 (selecting the first IUD based on the compatibility between the site model and the IUD model) includes S11-S13: S11, determine the center point of the part model.

[0035] It is easy to understand that we will determine the location of the center point of the part model as the part center point.

[0036] S12, sequentially set the center point of each type of contraceptive device model at the center point of the location to obtain the placement model.

[0037] It should be noted that the center point of the IUD model is the corresponding central location of the IUD model. For example, for a T-shaped IUD, it can be the intersection of the horizontal and vertical arms, that is, the point where the horizontal and vertical arms intersect. When the intersection point is exactly located at the center point, it is the geometric center of its structure. Aligning the center points of all candidate models with the center point of the patient's body site is a relatively ideal placement state in clinical simulation, facilitating subsequent analysis of the fit.

[0038] The center point refers to the central position of the IUD model. IUDs come in various shapes, such as the T-shape. For example, when the longitudinal arm of a T-shape is longer, the corresponding center point will shift downwards along the longitudinal arm. Here, we only use the T-shape as an example to place the center point accordingly.

[0039] Understandably, the system determines the coordinates of the center point of the affected area and accesses various IUD models in the IUD model library. Then, it executes an automated process: it retrieves each IUD model from the library and aligns the coordinates of its center point with the coordinates of the affected area's center point.

[0040] It is worth mentioning that the center point of the IUD model can also be a point that is pre-set by the person based on the placement of each model, so as to facilitate subsequent comparison of fit.

[0041] S13, select the first IUD based on the lateral and longitudinal compatibility of each IUD model and the location model within the placement model.

[0042] It should be noted that IUD mismatch is the result of both horizontal and vertical mismatch. If the horizontal mismatch occurs, it can easily lead to dislodgement, friction bleeding, etc. If the vertical mismatch occurs, since the vertical arm is mainly used to wrap around or place the slow-release contraceptive agent, if it is too short, the contraceptive effect will be poor, and if it is too long, it will rub against the internal os of the cervix, leading to bleeding, etc.

[0043] Among them, the horizontal fit is used to measure the degree of fit and support between the horizontal arm of the IUD model and the inner wall of the uterine fundus in the location model, that is, whether the width matches. The vertical fit is used to measure the degree of fit between the vertical arm of the IUD model and the height in the location model, that is, whether the length is appropriate, such as whether it is too close to the internal cervical os.

[0044] It is worth mentioning that, subsequently, the model can be filtered from the middle position of the model in the model library from small to large to see if the crossarm is too tight or there is a gap. If there is a gap from the beginning, then the models before the middle position do not need to be tried again, thereby reducing the amount of data processing.

[0045] In some embodiments, step S13 (selecting the first IUD based on the lateral and longitudinal fit between each IUD model and the site model within the placement model) includes S131-S132: S131, Select a support model based on the lateral fit between the horizontal arm of each contraceptive model and the part model within the placement model.

[0046] It is important to note that the transverse arm of the IUD is a crucial structure for its stable fixation within the target area, and it needs to closely conform to the shape of the uterine fundus. If the transverse fit is insufficient—for example, if the transverse arm is too narrow, resulting in ineffective support and easy displacement, or if the transverse arm is too wide, causing excessive pressure on the uterine wall and resulting in pain—then that model of IUD is not clinically suitable. Therefore, this approach first assesses the transverse fit, selecting models that can provide good support in the transverse direction.

[0047] Understandably, the system can iterate through each IUD model in the placement model and specifically analyze the contact between its transverse arm and the inner wall of the uterine fundus at the patient's target site. The system will assess its lateral fit. Any model whose lateral fit is deemed unqualified, such as having gaps or excessive compression, will be eliminated; while those IUD models with qualified lateral fit will serve as support models.

[0048] In some embodiments, step S131 (selecting a support model based on the lateral fit between the transverse arm of each contraceptive model and the location model within the placement model) includes S1311-S1315: S1311, obtain the contact state between the transverse arm of each IUD model and the uterine wall of the location model as the lateral fit degree, the lateral fit degree includes the gap state and the compression state.

[0049] It should be noted that the physical relationship between the transverse arm of the IUD and the uterine wall, namely the gap state and the compression state, is automatically assessed through objective contact state determination.

[0050] Among them, the contact state refers to the spatial positional relationship between the transverse arm of the IUD and the uterine wall in the virtual placement model; the gap state refers to the visible gap between the transverse arm and the uterine wall without contact, indicating that the size of the IUD model is too small; the compression state refers to the contact between the transverse arm and the uterine wall, indicating that the size of the IUD model has reached or exceeded the lateral width of the target site, and it can be compressed, but not excessively.

[0051] Understandably, the system will directly identify the contact state between the transverse arm and the uterine wall model.

[0052] S1312, the contraceptive model with a lateral fit of gap is regarded as an unfit model and the unfit model is eliminated.

[0053] Understandably, the system automatically searches for all IUD models marked as being in a gap state. These models are then categorized as unfit models and permanently removed from the current candidate list. S1313, the contraceptive model with lateral fit in a squeezed state is selected as the model.

[0054] S1314, obtain the number of contacts between the cross arm and the corresponding contact fulcrum of the uterine wall in the selected model, and obtain the degree of deformation of the uterine wall at each contact fulcrum.

[0055] It should be noted that whether the IUD can be properly positioned in the uterus, i.e., the quality of the compression, depends on two factors: the number of contacts and the degree of deformation. Too few contacts, such as only one point of contact, may lead to unstable support; while excessive deformation, i.e., excessive compression, may cause pain to the patient or pose a risk of uterine perforation.

[0056] Among them, the contact fulcrum refers to the point where the transverse arm of the IUD comes into contact with the uterine wall model; the number of contacts refers to the total number of these contact fulcrums; and the degree of deformation refers to the extent of morphological change of the uterine wall model at the contact fulcrum due to compression by the transverse arm, such as the depth of the indentation.

[0057] S1315, Select a model whose contact number is equal to the preset number and whose deformation degree is within the preset deformation range as the support model.

[0058] The preset quantity refers to a quantity pre-set based on clinical requirements, such as 4. See [link to relevant documentation]. Figure 2 The IUD needs four contact points with the uterine wall. In actual application, these points may vary depending on the specific circumstances. For example, the corresponding support points may be determined based on the shape of the IUD to ensure that it can be stably supported and achieve left-right balance. The preset deformation range is a deformation distance range that is artificially set in advance based on the actual situation. To ensure moderate compression, it must be greater than 0 to eliminate gaps, but also to avoid excessive compression that could cause damage.

[0059] Therefore, a model with a contact number equal to the preset number and a deformation degree within the preset deformation range is selected as the support model.

[0060] S132, Based on the longitudinal fit between the longitudinal arm of the support model and the part model, the first contraceptive device is selected.

[0061] It should be noted that after the horizontal screening in S131, it is not enough for an IUD to only have good horizontal support; its vertical length should also match the height of the target site. If the vertical arm is too long, it may touch or pierce the internal cervical os, causing pain or bleeding; if the vertical arm is too short, it may not be able to cover its functional parts, such as the copper coil, thus affecting the contraceptive effect. Therefore, this procedure further examines the vertical fit of the support model selected in S131, ensuring that the first IUD is well-matched to the patient in both horizontal and vertical dimensions.

[0062] In some embodiments, step S132 (selecting the first contraceptive device based on the longitudinal fit between the longitudinal arm of the support model and the part model) includes S1321-S1323: S1321, obtain the upper limit distance between the intersection point of the IUD model and the internal cervical os of the site model.

[0063] It should be noted that if the lower end of the IUD touches or penetrates the internal cervical os, it can cause pain, bleeding, or even perforation in the patient. Therefore, this protocol sets an objective and individualized maximum allowable length, or upper limit distance, for each patient by precisely measuring the distance from the intersection point of the virtually placed IUD to the anatomical boundary of the patient's individual internal cervical os.

[0064] Among them, the intersection point refers to the point where the horizontal and vertical arms intersect, the internal cervical os refers to the internal opening where the target site connects to the cervical canal, and the upper limit distance refers to the spatial distance measured from the intersection point of the IUD model to the internal cervical os. It defines the distance that the vertical arm of the IUD or its lower end can reach.

[0065] S1322, retrieve the lower limit distance of the effective dose corresponding to the IUD, determine the restriction interval based on the lower limit distance and the upper limit distance, and use the restriction interval as the longitudinal fit.

[0066] It should be noted that the effectiveness of IUDs, especially copper-containing IUDs, is related to their functional components, such as the length or area of ​​the copper wire, which constitutes the requirement for their effective dosage. If the longitudinal arm of the IUD is too short, it cannot meet the requirements for effectiveness.

[0067] Therefore, the system first retrieves a standardized lower limit distance value from its internal database or parameter settings, for example, specifying that the longitudinal arm length must not be less than a certain value. Then, based on the lower limit distance and the upper limit distance, a restriction interval is determined, which is used as the longitudinal fit, for example, [X,Y].

[0068] S1323, obtain the longitudinal length of the longitudinal arm of the support model, select the support model whose longitudinal length is within the longitudinal fit as the first model, and retrieve the contraceptive device corresponding to the first model as the first contraceptive device.

[0069] Among them, the support model is the candidate model that has been screened and is horizontally compatible. Subsequently, we will obtain the longitudinal length of the longitudinal arm of the support model, select the support model whose longitudinal length is within the longitudinal compatibility range as the first model, and retrieve the contraceptive device corresponding to the first model as the first contraceptive device.

[0070] Through the above methods, the first IUD we selected can be well aligned with the actual situation of contraception goals in both horizontal and vertical aspects.

[0071] S2, in response to the analysis request, retrieve the data collected by the first contraceptive device, the collected data including user feedback data and captured image data.

[0072] It should be noted that S1 is based on the virtual matching results of the initial static model. However, the target site is a dynamic environment, and after the IUD is actually placed, adverse reactions such as displacement or pain may still occur due to individual differences or dynamic changes within the uterus. Regarding the management of postoperative adverse reactions, subsequent selection or replacement still relies on the doctor's subjective experience, lacking objective data guidance.

[0073] Therefore, users can proactively request a re-analysis of the compatibility of the first IUD. During the period of using the first IUD, users can choose to upload relevant data themselves, such as their height, weight, and activity level. In these cases, users can provide feedback on their experience wearing the first IUD, such as whether there is bleeding or whether the tail string can still be felt. Users can choose to upload their own feedback data, i.e., user feedback data; or they can go to the hospital for a re-examination scan, and the server will capture the user's re-examination scan data, i.e., capture image data for subsequent image analysis.

[0074] S3, when it is determined that the collected data is user feedback data, the first IUD is replaced and adjusted based on the user feedback data.

[0075] Among them, user feedback data consists of feedback data uploaded by those who have family planning goals, such as whether there is bleeding.

[0076] It is easy to understand that when the collected data is determined to be user feedback data, the first IUD is replaced and adjusted based on the user feedback data. This uses existing technology, which is to determine whether the first IUD is suitable by conducting big data analysis on individuals with the same height, weight, and exercise status. Alternatively, the corresponding results can be obtained by training a neural network. This is existing technology and will not be elaborated here.

[0077] S4, when it is determined that the collected data is captured image data, the captured image data is analyzed to obtain image feedback information, the adjustment position of the first contraceptive device is determined based on the image feedback information, and the adjustment position is adjusted.

[0078] It should be noted that step S1 is based on the virtual matching results of the initial static model. However, the target site is a dynamic environment, and adverse reactions such as displacement or pain may still occur after the IUD is actually placed due to individual differences or dynamic changes within the uterus. Traditional methods for managing postoperative adverse reactions often rely on the doctor's subjective experience to reselect or change the type of IUD, lacking objective data guidance.

[0079] Our aim is to optimize based on postoperative feedback. By analyzing the captured image data, we can identify specific problems exposed by the first IUD in actual use and determine the specific location causing the problem. That is, we can adjust the position and then adjust the size of that location, providing a more accurate iterative model.

[0080] In some embodiments, step S4 (when it is determined that the collected data is captured image data, image parsing is performed on the captured image data to obtain image feedback information, the adjustment position of the first contraceptive device is determined based on the image feedback information, and the adjustment position is adjusted) includes S41-S45: S41, when it is determined that the collected data is captured image data, the captured image data is analyzed to obtain image feedback information, the image feedback information including displacement feedback points and friction feedback points.

[0081] It should be noted that the target site is a dynamically changing muscular organ, and the actual behavior of the IUD in the body may differ from that during virtual matching. Furthermore, the person will be in motion afterward, and there may be multiple IUDs selected initially. Therefore, subsequent re-examination scans will be conducted to obtain data on the in-situ status of the IUD under real physiological conditions.

[0082] Among them, image data is captured and scanned to obtain image data for contraception targets.

[0083] It's easy to understand why people will proactively request a follow-up examination from the hospital when they feel unwell or after a certain period of time following IUD insertion, to have the target area where the first IUD was placed scanned and obtain captured image data.

[0084] Furthermore, based on the actual situation in the captured image data, the two most common adverse reactions in clinical practice, namely displacement and detachment and bleeding caused by friction pain, were classified as displacement feedback points and friction feedback points.

[0085] Among them, displacement feedback points can be the support points where the IUD has deviated from the ideal placement position. For example, if the four support points on the IUD are displacement feedback points, it indicates insufficient support. Friction feedback points refer to specific areas identified after analyzing the re-examination data, indicating that the IUD is excessively compressed or irritated by the uterine wall. These areas can be viewed through image data at the locations of bloodstains on the horizontal or vertical arms.

[0086] S42, when the image feedback information is determined to be a displacement feedback point, the horizontal arm where the displacement feedback point in the first IUD is located is taken as the adjustment position.

[0087] It's easy to understand that the stability of an IUD within its target location primarily depends on the effective support of its transverse arm to the fundus of the uterus. If the system detects a displacement feedback point—that is, the IUD has shifted downwards or rotated—this directly indicates that its transverse arm is not providing sufficient support, meaning the transverse arm may be too small. Therefore, when this solution determines that the problem is displacement, it automatically locks the structure causing the problem, namely the transverse arm, as the target position that needs to be adjusted.

[0088] Therefore, when the image feedback information is a displacement feedback point, the horizontal arm where the displacement feedback point in the first IUD is located is taken as the adjustment position.

[0089] S43, the adjustment position of the first model corresponding to the first contraceptive device is increased to obtain the adjusted first model.

[0090] It's easy to understand that the problem is caused by the crossarm being too small, leading to displacement. Since the displacement is due to insufficient support from the crossarm, its size should be increased to provide stronger support. This solution involves increasing the size of the crossarm at the adjustment position marked on the first model.

[0091] In some embodiments, step S43 (increasing the adjustment position of the first model corresponding to the first contraceptive device to obtain the adjusted first model) includes S431-S434: S431, construct a re-examination model corresponding to the captured image data, and update the first model of the first contraceptive device into the part model to obtain the initial examination model.

[0092] It should be noted that the re-examination model is constructed based on the captured image data from S21, reflecting the current state of the IUD within the body, i.e., its actual displacement. The initial examination model, on the other hand, is constructed by placing the first model selected in S1 within the original site model of S1, in the same manner as before; it represents the ideal position of the IUD. Only by simultaneously obtaining both the current and ideal three-dimensional models can the optimal placement be achieved.

[0093] S432, based on the part model, align the re-inspection model and the initial inspection model, identify the overlap ratio of the first model in the re-inspection model and the initial inspection model, and determine the non-overlap ratio based on the overlap ratio.

[0094] It should be noted that S241 obtained two independent 3D models, an initial inspection model and a re-inspection model, but they were not aligned in the spatial coordinate system and could not be directly compared. Therefore, the system used the site model, i.e., the anatomical structure common to both models, as a reference to align the re-inspection model and the initial inspection model. After alignment, the positional difference of the IUD in the two models became clearly visible.

[0095] By identifying the overlap ratio between the ideal and actual positions of the two IUD models and deriving the non-overlap ratio, the severity of the displacement is objectively quantified, facilitating the subsequent determination of the corresponding adjustment range based on the non-overlap ratio.

[0096] S433, determine the preset length corresponding to the preset proportion interval in the preset displacement lookup table as the increase length, the preset displacement lookup table has a one-to-one correspondence between the preset proportion interval and the preset length.

[0097] The preset displacement lookup table is a lookup table pre-stored in the system. This table has a one-to-one correspondence between preset percentage ranges and preset lengths. Both the preset percentage ranges and preset lengths are preset by humans based on actual conditions. It is easy to understand that the larger the non-overlapping percentage, the higher the degree of displacement, which means that the IUD is fixed more loosely and is more likely to move. Therefore, the corresponding increase in length is larger, and the increase in length will be determined based on the preset percentage range in which the non-overlapping percentage is located.

[0098] S434, Based on the increased length, the adjustment position of the first model corresponding to the first contraceptive device is increased and adjusted to obtain the adjusted first model.

[0099] Understandably, the length is increased by a certain amount, for example, 1.5mm. The system modifies the geometry of the crossarm of the first model, increasing its dimensions by 1.5mm. This new model is then saved and named the adjusted first model.

[0100] S44, when the image feedback information is determined to be a friction feedback point, the horizontal arm and / or vertical arm where the friction feedback point is located in the first IUD is used as the adjustment position.

[0101] It should be noted that, unlike displacement, friction or pain can originate from two sources: one is that the transverse arm is too wide, excessively compressing the sides of the uterine fundus; the other is that the longitudinal arm is too long, touching or piercing the top of the uterine fundus or the internal os of the cervix. Therefore, when the system detects a friction feedback point, it can determine whether the problem lies in the transverse arm, the longitudinal arm, or both, based on the specific location of the friction point on the re-examination model, and accordingly lock one or more components into adjustment positions.

[0102] S45, the adjustment position of the first model corresponding to the first contraceptive device is reduced to obtain the adjusted first model.

[0103] It's easy to understand that friction can occur due to a component being too large—for example, if the friction is caused by an excessively wide crossarm or an excessively long longitudinal arm. The solution is to reduce its size to eliminate excessive compression. This solution involves reducing the size of the parts marked as adjustment positions (crossarm or longitudinal arm) on the first model to obtain the adjusted first model.

[0104] In some embodiments, step S45 (reducing the adjustment position of the first model corresponding to the first contraceptive device to obtain the adjusted first model) includes S451-S453: S451, obtain the damaged area of ​​the uterine wall in the captured image data.

[0105] It should be noted that S45 is a model adjustment to reduce adverse reactions caused by friction and excessive size. To determine the extent of reduction, the severity of friction must first be objectively quantified. Therefore, image recognition is used to capture the area of ​​damage to the uterine wall caused by excessive compression from the IUD in the image data.

[0106] S452, determine the preset length corresponding to the preset area range in the preset friction comparison table as the reduction length, wherein the preset friction comparison table has a one-to-one correspondence between the preset area range and the preset length.

[0107] The preset friction reference table is a lookup table pre-stored in the system. It establishes a mapping relationship between the damaged area and the length to be reduced. Furthermore, the correspondence between the preset area range and the preset length is preset by the user based on the actual situation.

[0108] Therefore, the preset length corresponding to the preset area range in the preset friction comparison table is determined as the reduction length.

[0109] S453, based on the reduction in length, the adjustment position of the first model corresponding to the first contraceptive device is reduced to obtain the adjusted first model.

[0110] Understandably, after a determined reduction in length, for example, 0.8mm, the system modifies the longitudinal or transverse arm of the first model, reducing its dimensions by 0.8mm. The system saves this new model and names it the "Adjusted First Model".

[0111] Based on the above embodiments, it also includes: The model size of the model corresponding to the contraceptive target is stored in a one-to-one correspondence with the adjusted first model.

[0112] Based on the above embodiments, it also includes: Multiple detection points are set at the tail wire of the first contraceptive device, and each detection point has a corresponding distance.

[0113] It's easy to understand that the purpose of the tail string of the first IUD is to facilitate removal by the doctor, and during routine checkups, the user can determine whether the IUD has shifted or fallen out by touching the tail string, without the need for additional imaging examinations.

[0114] However, when the IUD is displaced, the existing tail string remains, making it impossible to identify whether it has been displaced. Therefore, we have set up detectable points, which can be raised dots. Users can touch the number of raised dots or different locations during routine checks to ensure the IUD's position.

[0115] The system receives the number of touches corresponding to the detectable points uploaded by the contraceptive target. When the number of touches is less than the preset number of exposed points, it generates re-inspection information and sends it to the contraceptive target's mobile device.

[0116] It is not difficult to understand, see Figure 3 The mobile device will receive a re-inspection message from the server, such as "Quantity is abnormal, please come for re-inspection".

[0117] See Figure 4 This is a schematic diagram of the structure of an intrauterine device risk monitoring and analysis system provided in an embodiment of the present invention. The intrauterine device risk monitoring and analysis system includes: The scanning module is used to scan the target site of the contraceptive target to obtain scan image data, construct a site model based on the scan image data, and select a first contraceptive device according to the compatibility between the site model and the contraceptive device model. The response module is used to respond to analysis requests and retrieve the collected data from the first contraceptive device, including user feedback data and captured image data. The feedback module is used to replace and adjust the first intrauterine device based on the user feedback data when it is determined that the collected data is user feedback data. The capture module is used to determine that the collected data is captured image data, perform image parsing on the captured image data to obtain image feedback information, determine the adjustment position of the first contraceptive device based on the image feedback information, and adjust the adjustment position.

[0118] The present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, is used to implement the methods provided in the various embodiments described above.

[0119] The readable storage medium can be a computer storage medium or a communication medium. A communication medium includes any medium that facilitates the transfer of computer programs from one location to another. A computer storage medium can be any available medium accessible to a general-purpose or special-purpose computer. For example, a readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Of course, the readable storage medium can also be a component of the processor. The processor and the readable storage medium can reside in an Application-Specific Integrated Circuit (ASIC). Alternatively, the ASIC can be located in a user equipment. Of course, the processor and the readable storage medium can also exist as discrete components in a communication device. The readable storage medium can be a read-only memory (ROM), random access memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0120] The present invention also provides a program product including executable instructions stored in a readable storage medium. At least one processor of the device can read the executable instructions from the readable storage medium, and the at least one processor executes the executable instructions to cause the device to implement the methods provided in the various embodiments described above.

[0121] In the embodiments of the above-described device, it should be understood that the processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly manifested as execution by a hardware processor, or execution by a combination of hardware and software modules within the processor.

[0122] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for monitoring and analyzing the risks of intrauterine devices, characterized in that, include: The target site of the contraceptive target is scanned to obtain scan image data. A site model is constructed based on the scan image data. The first contraceptive device is selected according to the fit between the site model and the contraceptive device model. In response to the analysis request, the system retrieves the data collected by the first intrauterine device, including user feedback data and captured image data. When it is determined that the collected data is user feedback data, the first intrauterine device is replaced or adjusted based on the user feedback data. When the collected data is determined to be captured image data, image analysis is performed on the captured image data to obtain image feedback information. Based on the image feedback information, the adjustment position of the first contraceptive device is determined, and the adjustment position is adjusted.

2. The method according to claim 1, characterized in that, The step of selecting the first intrauterine device (IUD) based on the compatibility between the site model and the IUD model includes: Determine the center point of the part model; The center point of each type of IUD model is sequentially set at the center point of the aforementioned location to obtain the placement model; The first IUD is selected based on the lateral and longitudinal compatibility of each IUD model and the location model within the placement model.

3. The method according to claim 2, characterized in that, The step of selecting the first IUD based on the lateral and longitudinal fit between each IUD model and the site model within the placement model includes: Based on the lateral fit between the transverse arm of each IUD model and the location model within the placement model, a support model is selected; Based on the longitudinal fit between the longitudinal arm of the support model and the part model, the first contraceptive device is selected.

4. The method according to claim 3, characterized in that, The step of selecting a support model based on the lateral fit between the horizontal arm of each IUD model and the location model within the placement model includes: The contact state between the transverse arm of each IUD model and the uterine wall of the location model is obtained as the lateral fit degree, which includes the gap state and the compression state. The contraceptive model with a lateral fit of gap is considered an unfit model, and the unfit model is discarded. The contraceptive model with a lateral fit in a squeezed state was selected as the model; The number of contacts between the transverse arm and the corresponding contact fulcrum of the uterine wall in the selection model is obtained, and the degree of deformation of the uterine wall at each contact fulcrum is obtained. Select a model whose contact number is equal to the preset number and whose deformation degree is within the preset deformation range as the support model.

5. The method according to claim 3, characterized in that, The selection of the first contraceptive device based on the longitudinal fit between the longitudinal arm and the part model of the support model includes: Obtain the upper limit distance between the intersection point of the IUD model and the internal cervical os of the site model; The lower limit distance of the effective dose corresponding to the IUD is retrieved, and the restriction interval is determined based on the lower limit distance and the upper limit distance, and the restriction interval is used as the longitudinal fit. Obtain the longitudinal length of the longitudinal arm of the support model, select the support model whose longitudinal length is within the longitudinal fit range as the first model, and retrieve the contraceptive device corresponding to the first model as the first contraceptive device.

6. The method according to claim 5, characterized in that, When the collected data is determined to be captured image data, image parsing is performed on the captured image data to obtain image feedback information. Based on the image feedback information, the adjustment position of the first contraceptive device is determined, and the adjustment position is adjusted, including: When the collected data is determined to be captured image data, the captured image data is analyzed to obtain image feedback information, which includes displacement feedback points and friction feedback points. When the image feedback information is determined to be the displacement feedback point, the horizontal arm where the displacement feedback point is located in the first insulator is taken as the adjustment position; The adjustment position of the first model corresponding to the first contraceptive device is increased to obtain the adjusted first model; When the image feedback information is determined to be the friction feedback point, the horizontal arm and / or vertical arm where the friction feedback point is located in the first insulator is used as the adjustment position; The adjustment position of the first model corresponding to the first IUD is reduced to obtain the adjusted first model.

7. The method according to claim 6, characterized in that, The step of increasing the adjustment position of the first model corresponding to the first intrauterine device to obtain the adjusted first model includes: Construct a re-examination model corresponding to the captured image data, and update the first model of the first contraceptive device into the site model to obtain the initial examination model; The re-inspection model and the initial inspection model are aligned based on the part model, the overlap ratio of the first model in the re-inspection model and the initial inspection model is identified, and the non-overlap ratio is determined based on the overlap ratio. The preset length corresponding to the preset proportion interval in the preset displacement lookup table is determined as the increase length. The preset displacement lookup table has a one-to-one correspondence between the preset proportion interval and the preset length. Based on the increased length, the adjustment position of the first model corresponding to the first contraceptive device is increased to obtain the adjusted first model.

8. The method according to claim 6, characterized in that, The step of reducing the adjustment position of the first model corresponding to the first contraceptive device to obtain the adjusted first model includes: Obtain the area of ​​uterine wall damage in the captured image data; The preset length corresponding to the preset area range in the preset friction comparison table is determined as the reduction length. The preset friction comparison table has a one-to-one correspondence between the preset area range and the preset length. Based on the reduction in length, the adjustment position of the first model corresponding to the first contraceptive device is reduced to obtain the adjusted first model.

9. The method according to claim 8, characterized in that, Also includes: The model size of the model corresponding to the contraceptive target is stored in a one-to-one correspondence with the adjusted first model.

10. An intrauterine device risk monitoring and analysis system, characterized in that, include: The scanning module is used to scan the target site of the contraceptive target to obtain scan image data, construct a site model based on the scan image data, and select a first contraceptive device according to the compatibility between the site model and the contraceptive device model. The response module is used to respond to analysis requests and retrieve the collected data from the first contraceptive device, including user feedback data and captured image data. The feedback module is used to replace and adjust the first intrauterine device based on the user feedback data when it is determined that the collected data is user feedback data. The capture module is used to determine that the collected data is captured image data, perform image parsing on the captured image data to obtain image feedback information, determine the adjustment position of the first contraceptive device based on the image feedback information, and adjust the adjustment position.

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