Personalized low-iodine diet control system and control method based on artificial intelligence

Abstract

The invention relates to the field of medical health, and provides a personalized low-iodine diet control system and control method based on artificial intelligence, a data management module collects patient basic information, an iodine content database, patient diet record data and patient examination data; the personalized low-iodine recommendation module generates a personalized low-iodine menu through a low-iodine diet algorithm according to the collected data, generates patient guidance suggestions and issues the patient guidance suggestions to the patient side; and the risk assessment and early warning module estimates the daily iodine intake of the patient according to the diet record data of the patient and the examination data of the patient, and performs risk assessment and early warning on the daily iodine intake of the patient in combination with the target daily iodine intake. According to the invention, personalized low-iodine diet control based on a food iodine content table, diet records and an intelligent algorithm can be realized for a patient subjected to radioiodine 131 treatment after a thyroid cancer total resection operation.

Description

Technical Field

[0001] This invention relates to the field of medical and health technology, and more specifically, to a personalized low-iodine diet control system and control method based on artificial intelligence. Background Technology

[0002] Patients with thyroid cancer who undergo total thyroidectomy and are before receiving radioactive iodine-131 therapy must undergo strict low-iodine dietary preparation, typically for 2-4 weeks (daily iodine intake <50 μg), to ensure adequate uptake of radioactive iodine by residual thyroid lesions and improve treatment efficacy. Currently, the following issues exist in clinical practice:

[0003] 1. Lack of standardized low-iodine dietary guidelines: Existing guidelines are mostly paper-based food lists, lacking quantitative calculations of iodine content and personalized adjustments;

[0004] 2. Poor patient compliance: The low-iodine diet has strict restrictions, which are difficult for patients to understand and implement, and there is a lack of real-time guidance and supervision;

[0005] 3. Disconnection between inpatient and outpatient management: During hospitalization, patients receive guidance from medical staff, but after discharge, they manage their own care, resulting in a lack of continuous monitoring;

[0006] 4. Delayed risk identification: Relying on urinary iodine testing 1-2 days before treatment makes it impossible to detect and correct dietary deviations in a timely manner;

[0007] 5. Insufficient data integration: Patient self-reported diet, in-hospital test results, and clinical assessments lack effective integration and closed-loop management.

[0008] 6. Patients are prone to anxiety about low-iodine diets: Current guidelines lack quantitative references and real-time feedback, and patients experience anxiety due to misunderstandings and a sense of uncontrollability regarding low-iodine diets.

[0009] The above issues have led to some patients needing to postpone treatment due to insufficient preparation of a low-iodine diet, affecting the timing and effectiveness of treatment. Summary of the Invention

[0010] This invention addresses the technical problems existing in the prior art by providing a personalized low-iodine diet control system and method based on artificial intelligence, which can overcome the problem of effectively managing low-iodine diets for thyroid cancer patients.

[0011] According to a first aspect of the present invention, an artificial intelligence-based personalized low-iodine diet control system is provided, including a data management module, a diet recording and standardization module, a personalized low-iodine recommendation module, and a risk assessment and early warning module.

[0012] The data management module is used to collect and record the low-iodine template, patient basic information, iodine content database, patient dietary record data, and patient examination data corresponding to the input iodine-131 treatment plan.

[0013] The diet record and standardization module is used to preprocess and normalize the patient's diet record data;

[0014] The personalized low-iodine recommendation module is used to generate a personalized low-iodine menu and patient guidance suggestions based on a low-iodine template, patient basic information, iodine content database and patient dietary record data, and to send the personalized low-iodine menu and patient guidance suggestions to the patient.

[0015] The risk assessment and early warning module is used to estimate the patient's daily iodine intake based on the patient's dietary records and examination data, and to conduct risk assessment and early warning based on the estimated daily iodine intake and the target daily iodine intake.

[0016] Based on the above technical solution, the present invention can also be improved as follows.

[0017] Optionally, the iodine-131 treatment plan includes a treatment schedule and low-iodine dietary requirements developed by a doctor. The low-iodine template is generated based on the iodine-131 treatment plan and includes preset dietary control duration, target daily iodine intake, permitted / prohibited foods, and educational text.

[0018] Optionally, the patient's basic information includes personal records, allergy history, dietary preferences, and past iodine exposure. The patient's dietary record data is obtained by the patient manually entering food names, recognizing food through photographs, or scanning QR codes. The iodine content database includes the iodine content corresponding to each dietary item.

[0019] Optionally, the diet record and standardization module is used to preprocess and normalize the patient's diet record data, including:

[0020] Based on the dietary entries provided by the patient's dietary records, the foods corresponding to different dietary entries are converted into a uniform weight and unit, and the iodine content and nutritional information corresponding to each food are found in the iodine content database.

[0021] Optionally, the personalized low-iodine recommendation module is used to generate a personalized low-iodine menu and patient guidance suggestions based on a low-iodine template, patient basic information, iodine content database, and patient dietary record data, using a low-iodine diet algorithm, including:

[0022] Based on the iodine content and nutritional information corresponding to each dietary item in the patient's dietary record data, calculate the daily iodine content and nutritional information already ingested;

[0023] Based on the target iodine content and target nutrient information required daily as defined in the low-iodine template, as well as the iodine content and nutrient information already ingested daily, calculate the daily remaining iodine content budget and remaining nutrient budget.

[0024] Based on the daily remaining iodine content budget and remaining nutrient budget, combined with the patient's dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated.

[0025] Optionally, the data management module is also used to continuously collect patient dietary record data;

[0026] Correspondingly, the personalized low-iodine recommendation module is also used to adjust and optimize personalized low-iodine menus and patient guidance suggestions based on the latest patient dietary record data.

[0027] Optionally, the risk assessment and early warning module is used to estimate the patient's daily iodine intake based on the patient's dietary records and examination data, and to conduct a risk assessment and early warning based on the estimated daily iodine intake and the target daily iodine intake, including:

[0028] Calculate the difference in iodine content between the patient's daily iodine intake and the target daily iodine intake, and determine the warning level based on the magnitude of the iodine content difference;

[0029] According to the warning level, corresponding warning measures will be implemented.

[0030] Optionally, the data management module supports dynamic authorization based on roles and scenarios, as well as field-level encrypted storage.

[0031] According to a second aspect of the present invention, a personalized low-iodine diet control method based on artificial intelligence is provided, comprising:

[0032] Collect and record the low-iodine template corresponding to the input iodine-131 treatment plan, patient basic information, iodine content database, patient dietary record data, and patient examination data;

[0033] The patient's dietary records data were preprocessed and normalized;

[0034] Based on the low-iodine template, patient basic information, iodine content database, and patient dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated through a low-iodine diet algorithm, and the personalized low-iodine menu and patient guidance suggestions are sent to the patient's device.

[0035] Based on the patient's dietary records and examination data, the patient's daily iodine intake is estimated. Based on the estimated daily iodine intake and the target daily iodine intake, a risk assessment and early warning are conducted on the patient's daily iodine intake.

[0036] According to a third aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of a personalized low-iodine diet control method based on artificial intelligence.

[0037] This invention provides a personalized low-iodine diet control system and method based on artificial intelligence. It designs an automatic low-iodine diet control system and corresponding control method, collecting basic patient information, an iodine content database, patient dietary records, and patient examination data. A personalized low-iodine recommendation module generates a personalized low-iodine menu and patient guidance suggestions based on the collected data and sends them to the patient. A risk assessment and early warning module estimates the patient's daily iodine intake based on the patient's dietary records and examination data, and performs a risk assessment and early warning based on the target daily iodine intake. This invention enables personalized low-iodine diet control for patients undergoing radioactive iodine-131 treatment after total thyroidectomy for thyroid cancer, based on food iodine content tables, dietary records, and intelligent algorithms. Attached Figure Description

[0038] Figure 1 A structural block diagram of a personalized low-iodine diet control system based on artificial intelligence, provided as an embodiment of the present invention;

[0039] Figure 2 This is a schematic diagram of the overall working architecture of a personalized low-iodine diet control system according to an embodiment of the present invention;

[0040] Figure 3 A flowchart illustrating the overall workflow of an artificial intelligence-based personalized low-iodine diet control system, as provided in one embodiment of the present invention.

[0041] Figure 4 A schematic diagram of the hardware structure of a possible electronic device provided by the present invention;

[0042] Figure 5 This is a schematic diagram of the hardware structure of a possible computer-readable storage medium provided by the present invention. Detailed Implementation

[0043] 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, 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. In addition, the technical features of the various embodiments or individual embodiments provided by the present invention can be arbitrarily combined with each other to form feasible technical solutions. Such combinations are not constrained by the order of steps and / or structural composition patterns, but must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0044] The purpose of this invention is to provide a personalized low-iodine diet control system and method based on artificial intelligence, focusing on low-iodine diet management for patients who have undergone total thyroidectomy for thyroid cancer and are scheduled for radioactive iodine-131 therapy. This aims to achieve precise control of iodine intake in the pre-treatment period, dietary risk warning, and personalized menu generation, thereby improving dietary compliance and treatment efficacy.

[0045] Figure 1 The diagram illustrates an architectural framework of an artificial intelligence-based personalized low-iodine diet control system according to an embodiment of the present invention. Figure 1 As shown, the personalized low-iodine diet control system includes a data management module, a diet record and standardization module, a personalized low-iodine recommendation module, and a risk assessment and early warning module.

[0046] The data management module is used to collect and record the low-iodine template, patient basic information, iodine content database, patient dietary record data, and patient examination data corresponding to the input iodine-131 treatment plan.

[0047] The diet record and standardization module is used to preprocess and normalize the patient's diet record data;

[0048] The personalized low-iodine recommendation module is used to generate a personalized low-iodine menu and patient guidance suggestions based on a low-iodine template, patient basic information, iodine content database and patient dietary record data, and to send the personalized low-iodine menu and patient guidance suggestions to the patient.

[0049] The risk assessment and early warning module is used to estimate the patient's daily iodine intake based on the patient's dietary records and examination data, and to conduct risk assessment and early warning based on the estimated daily iodine intake and the target daily iodine intake.

[0050] Understandably, Figure 2 This diagram illustrates the overall architecture of a personalized low-iodine diet control system. Based on the thyroid patient's condition, if an iodine-131 treatment plan is required, the doctor pre-determines the plan. This plan includes a treatment schedule and low-iodine dietary requirements. A low-iodine template is generated based on the iodine-131 treatment plan, pre-setting the duration of dietary control, target daily iodine intake, permitted / prohibited foods, and educational text. Subsequently, the thyroid patient can follow the requirements in the low-iodine template to control their diet.

[0051] The clinical parameters (based on standard configurations from clinical guidelines) in the iodine-131 treatment plan are as follows:

[0052] Duration of low-iodine diet: The system default setting is 21 days (doctors can customize it to 14-28 days) to ensure that the thyroid iodine pool is fully depleted before treatment;

[0053] Target daily iodine intake: strictly controlled at <50μg / day (in line with the International Thyroid Association's recommended standards), with the system supporting a more stringent mode of <30μg / day;

[0054] Target values ​​for urinary iodine / creatinine: Urinary iodine should be <100 μg / L (optimal <50 μg / L) 24-48 hours before treatment. The system can record and track the decreasing trend of urinary iodine.

[0055] Pre-examination time points: Strict monitoring begins 7 days before treatment, and urine iodine verification test is performed 48-72 hours before treatment.

[0056] See also Figure 2 The system triggers a low-iodine template through an iodine-131 treatment plan. The data management module collects basic patient information, dietary records, test results, and an iodine content database. Basic patient information includes personal files, allergy history, dietary preferences, and past iodine exposure. Dietary records can be obtained by the patient manually entering food names, photographing and identifying food, or scanning QR codes. The iodine content database includes the iodine content for each dietary item. Patient test results include the patient's urinary iodine-to-creatinine ratio and TSH levels.

[0057] The data management module supports role-based and scenario-based dynamic authorization and field-level encrypted storage. The personalized low-iodine diet control system provided in this embodiment offers role-based access control (RBAC) and supports scenario-based dynamic authorization (patients can temporarily authorize doctors or family members to view dietary records or specific test results). All data operation records are audited, sensitive fields are minimized and encrypted, and patients can revoke authorization at any time.

[0058] The data management module collects data and, based on the dietary entries provided by the patient's dietary records, converts the foods corresponding to different dietary entries into a unified weight and unit to achieve data normalization. It also searches the iodine content and nutritional information of each food in the iodine content database.

[0059] In some embodiments of the present invention, the personalized low-iodine recommendation module is used to generate a personalized low-iodine menu and generate patient guidance suggestions based on a low-iodine template, patient basic information, an iodine content database, and patient dietary record data, using a low-iodine diet algorithm, including:

[0060] Based on the iodine content and nutritional information corresponding to each dietary item in the patient's dietary record data, calculate the daily iodine content and nutritional information already ingested;

[0061] Based on the target iodine content and target nutrient information required daily as defined in the low-iodine template, as well as the iodine content and nutrient information already ingested daily, calculate the daily remaining iodine content budget and remaining nutrient budget.

[0062] Based on the daily remaining iodine content budget and remaining nutrient budget, combined with the patient's dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated.

[0063] Understandably, after collecting the low-iodine template, patient basic information, iodine content database, and patient dietary records, the iodine content of each food item is retrieved from the iodine content database based on the patient's daily dietary entries. The iodine intake for the day is calculated based on the patient's daily diet. Then, based on the current iodine intake and the daily target iodine intake specified in the low-iodine template, the remaining iodine intake is calculated. Based on the remaining daily iodine intake, a personalized low-iodine menu and patient guidance recommendations can be developed.

[0064] The personalized low-iodine menu can include multiple candidate menus, such as alternatives for each food item. It also generates patient guidance suggestions to instruct patients on their dietary habits and promote effective dietary management.

[0065] The patient guidance includes a strict list of contraindications and recommended foods (based on iodine content classification) for patients undergoing radioactive iodine-131 treatment, which can be found below:

[0066] Strictly prohibited (high iodine, >200μg / 100g): seaweed such as kelp, nori, and wakame; marine fish (such as ribbonfish, yellow croaker, and pomfret); shellfish (such as oysters, scallops, and clams); iodized salt and iodized salt products; iodine-containing contrast agents; and multivitamins (containing iodine).

[0067] Restricted use (medium iodine, 50-200 μg / 100g): shrimp, crab; certain seafood seasonings (dried shrimp, dried shrimp); some dairy products (especially industrially processed dairy products); egg yolks (limited to 1 per week); certain brands of bread (containing potassium iodide improvers).

[0068] Safety recommendations (low iodine, <50μg / 100g): white rice, refined flour and its products (made with non-iodized salt); fresh vegetables (spinach, cabbage, radish, potatoes, etc.); fresh fruits (apples, bananas, oranges, etc.); chicken, pork, and beef (non-seafood); vegetable oil; purified water and mineral water (low iodine).

[0069] Special note: All cooking must use non-iodized salt, avoid eating out, and carefully read food labels to avoid hidden sources of iodine.

[0070] An example of a standard low-iodine diet before radioactive iodine-131 treatment (daily iodine intake <50μg) is shown below:

[0071] Breakfast (estimated iodine content: 8-12μg): 100g white rice porridge + 2 slices of white bread (made with iodine-free salt) + 1 apple + purified water;

[0072] Morning snack (estimated iodine content: 2-3 μg): 1 banana or 1 orange;

[0073] Lunch (estimated iodine content: 15-20μg): 150g white rice + 100g steamed chicken breast (seasoned with non-iodized salt) + 150g stir-fried cabbage (vegetable oil, non-iodized salt) + purified water;

[0074] Afternoon snack (estimated iodine content: 3-5μg): 1 apple or a small amount of unsalted nuts (walnuts, almonds);

[0075] Dinner (estimated iodine content: 15-20μg): 100g white noodles (without iodized salt) + 80g lean shredded pork + 150g stir-fried shredded radish (with vegetable oil and without iodized salt) + purified water;

[0076] Total daily iodine intake: approximately 40-45 μg, which meets the requirement of <50 μg / day;

[0077] Cooking tips: Use non-iodized salt throughout the process, and mainly use steaming, boiling, and stir-frying methods. Avoid complicated seasonings. Choose purified water or low-iodine mineral water for drinking.

[0078] Among them, the personalized low-iodine recommendation module can also provide each patient with a personalized low-iodine menu based on the iodine content of each food in the low-iodine template and iodine content database, combined with the dietary habits reflected in the patient's dietary record data.

[0079] Understandably, when generating a personalized low-iodine menu, the daily iodine intake required by the low-iodine template can be determined based on the iodine content database and each patient's dietary records. This allows for the identification of each patient's dietary preferences. By meeting the daily iodine intake requirement while incorporating each patient's dietary preferences, a personalized low-iodine menu can be provided for each patient.

[0080] In some embodiments of the present invention, the data management module is further configured to continuously collect patient dietary record data; correspondingly, the personalized low-iodine recommendation module is further configured to adjust and optimize personalized low-iodine menus and patient guidance suggestions based on the latest patient dietary record data.

[0081] Understandably, the personalized low-iodine recommendation module can update and optimize the personalized low-iodine menu for patients in real time. By continuously collecting patients' daily dietary record data, the personalized low-iodine recommendation module can update the personalized low-iodine menu provided to patients based on the updated patient dietary record data, so as to meet the patients' dietary requirements in real time.

[0082] The generated personalized low-iodine menu, daily iodine budget, shopping list, and key precautions will be sent to the patient's device, specifying which behaviors require immediate contact with medical staff (e.g., alerts for detected iodine levels).

[0083] In some embodiments of the present invention, the risk assessment and early warning module is used to estimate the patient's daily iodine intake based on the patient's dietary record data and patient examination data, and to perform risk assessment and early warning on the patient's daily iodine intake based on the estimated daily iodine intake and the target daily iodine intake, including:

[0084] Calculate the difference in iodine content between the patient's daily iodine intake and the target daily iodine intake, and determine the warning level based on the magnitude of the iodine content difference;

[0085] According to the warning level, corresponding warning measures will be implemented.

[0086] Understandably, based on the patient's daily dietary records and examination data, the patient's daily iodine intake can be estimated. The difference between the patient's daily iodine intake and the target daily iodine intake required by the low-iodine template can be calculated. The larger the difference, the greater the deviation and the greater the risk of iodine exposure. The smaller the difference, the smaller the deviation and the lower the risk of iodine exposure.

[0087] Based on the degree of deviation, the risk of iodine exposure is determined, and a tiered warning system is generated. The warnings are as follows: Low (informational reminder): such as failure to submit a food log on time or daily iodine intake approaching the recommended upper limit; Medium (requiring attention): such as excessive intake for several consecutive days or test results indicating high iodine intake, suggesting adjustments to the diet or online follow-up; High (requiring physician evaluation): such as test results showing significant iodine excess or clinical concerns related to iodine intake, the system notifies medical personnel and recommends priority evaluation.

[0088] See Figure 3 The diagram illustrates a flowchart of a personalized low-iodine diet control method based on artificial intelligence, according to an embodiment of the present invention. This personalized low-iodine diet control method includes the following steps:

[0089] Collect and record the low-iodine template corresponding to the input iodine-131 treatment plan, patient basic information, iodine content database, patient dietary record data, and patient examination data;

[0090] The patient's dietary records data were preprocessed and normalized;

[0091] Based on the low-iodine template, patient basic information, iodine content database, and patient dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated through a low-iodine diet algorithm, and the personalized low-iodine menu and patient guidance suggestions are sent to the patient's device.

[0092] Based on the patient's dietary records and examination data, the patient's daily iodine intake is estimated. Based on the estimated daily iodine intake and the target daily iodine intake, a risk assessment and early warning are conducted on the patient's daily iodine intake.

[0093] The iodine-131 treatment plan includes a treatment schedule and low-iodine dietary requirements set by a doctor. The low-iodine template is generated based on the iodine-131 treatment plan and includes preset dietary control duration, target daily iodine intake, permitted / prohibited foods, and educational text.

[0094] The patient's basic information includes personal records, allergy history, dietary preferences, and past iodine exposure. The patient's dietary record data is obtained by the patient manually entering food names, recognizing food by taking a picture, or scanning a QR code. The iodine content database includes the iodine content corresponding to each dietary item.

[0095] In some embodiments of the present invention, based on a low-iodine template, patient basic information, an iodine content database, and patient dietary record data, a low-iodine diet algorithm is used to generate a personalized low-iodine menu and patient guidance suggestions, including:

[0096] Based on the iodine content and nutritional information corresponding to each dietary item in the patient's dietary record data, calculate the daily iodine content and nutritional information already ingested;

[0097] Based on the target iodine content and target nutrient information required daily as defined in the low-iodine template, as well as the iodine content and nutrient information already ingested daily, calculate the daily remaining iodine content budget and remaining nutrient budget.

[0098] Based on the daily remaining iodine content budget and remaining nutrient budget, combined with the patient's dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated.

[0099] In some embodiments of the present invention, the daily iodine intake of a patient is estimated based on the patient's dietary records and examination data. Based on the estimated daily iodine intake and the target daily iodine intake, a risk assessment and early warning system is implemented for the patient's daily iodine intake, including:

[0100] Calculate the difference in iodine content between the patient's daily iodine intake and the target daily iodine intake, and determine the warning level based on the magnitude of the iodine content difference;

[0101] According to the warning level, corresponding warning measures will be implemented.

[0102] It is understood that the AI-based personalized low-iodine diet control method provided by the present invention corresponds to the AI-based personalized low-iodine diet control system provided in the foregoing embodiments. The relevant technical features of the AI-based personalized low-iodine diet control method can be referred to the relevant technical features of the AI-based personalized low-iodine diet control system, and will not be repeated here.

[0103] Please see Figure 4 , Figure 4 This is a schematic diagram illustrating an embodiment of the electronic device provided in this invention. For example... Figure 4 As shown, an embodiment of the present invention provides an electronic device, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, it performs the following steps:

[0104] Collect and record the low-iodine template corresponding to the input iodine-131 treatment plan, patient basic information, iodine content database, patient dietary record data, and patient examination data;

[0105] The patient's dietary records data were preprocessed and normalized;

[0106] Based on the low-iodine template, patient basic information, iodine content database, and patient dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated through a low-iodine diet algorithm, and the personalized low-iodine menu and patient guidance suggestions are sent to the patient's device.

[0107] Based on the patient's dietary records and examination data, the patient's daily iodine intake is estimated. Based on the estimated daily iodine intake and the target daily iodine intake, a risk assessment and early warning are conducted on the patient's daily iodine intake.

[0108] Please see Figure 5 , Figure 5 This is a schematic diagram illustrating an embodiment of a computer-readable storage medium provided by the present invention. (See diagram below.) Figure 5 As shown, this embodiment provides a computer-readable storage medium 500 on which a computer program 511 is stored. When the computer program 511 is executed by a processor, it performs the following steps:

[0109] Collect and record the low-iodine template corresponding to the input iodine-131 treatment plan, patient basic information, iodine content database, patient dietary record data, and patient examination data;

[0110] The patient's dietary records data were preprocessed and normalized;

[0111] Based on the low-iodine template, patient basic information, iodine content database, and patient dietary record data, a personalized low-iodine menu and patient guidance suggestions are generated through a low-iodine diet algorithm, and the personalized low-iodine menu and patient guidance suggestions are sent to the patient's device.

[0112] Based on the patient's dietary records and examination data, the patient's daily iodine intake is estimated. Based on the estimated daily iodine intake and the target daily iodine intake, a risk assessment and early warning are conducted on the patient's daily iodine intake.

[0113] This invention provides an artificial intelligence-based personalized low-iodine diet control system and method, with the low-iodine diet before radioactive iodine-131 treatment after total thyroidectomy for thyroid cancer as the primary application scenario. The system collects and records the low-iodine template corresponding to the input iodine-131 treatment plan, patient basic information, iodine content database, patient dietary records, and patient examination data. Based on this data, a personalized low-iodine menu and patient guidance suggestions are generated using a low-iodine diet algorithm, and these are then sent to the patient.

[0114] Based on the patient's dietary records and examination data, the patient's daily iodine intake is estimated. Based on the estimated daily iodine intake and the target daily iodine intake, a risk assessment and early warning are conducted on the patient's daily iodine intake.

[0115] It should be noted that the descriptions of each embodiment in the above embodiments have different focuses. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0116] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0117] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0118] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0119] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0120] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0121] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. An artificial intelligence-based personalized low-iodine diet control system, characterized by, The system comprises a data management module, a diet record and standardization module, a personalized low-iodine recommendation module, and a risk assessment and early warning module. The data management module is configured to collect and record an input low-iodine template corresponding to an iodine-131 treatment plan, patient basic information, an iodine content database, patient diet record data, and patient examination data. The diet record and standardization module is configured to preprocess and normalize the patient diet record data. The personalized low-iodine recommendation module is configured to generate a personalized low-iodine menu and patient guidance suggestions based on the low-iodine template, patient basic information, the iodine content database, and the patient diet record data, and to issue the personalized low-iodine menu and the patient guidance suggestions to the patient end. The risk assessment and early warning module is configured to estimate the daily iodine intake of the patient based on the patient diet record data and the patient examination data, and to perform risk assessment and early warning on the daily iodine intake of the patient based on the estimated daily iodine intake and a target daily iodine intake.

2. The personalized low-iodine diet control system of claim 1, wherein, The iodine-131 treatment plan includes a treatment schedule and low-iodine diet requirements formulated by a doctor, and the low-iodine template is generated based on the iodine-131 treatment plan.

3. The personalized low-iodine diet control system of claim 1, wherein, The patient basic information includes personal records, allergy history, dietary preferences, and past iodine exposure, the patient diet record data is obtained by manually inputting food names, taking photos to recognize food, or scanning two-dimensional codes, and the iodine content database includes the iodine content of each diet item.

4. The personalized low-iodine diet control system of claim 3, wherein, The diet record and standardization module is configured to preprocess and normalize the patient diet record data, including: According to the diet items provided by the patient diet record data, the food corresponding to different diet items is converted into a unified weight and unit, and the iodine content and nutritional information of each food are found in the iodine content database.

5. The personalized low-iodine diet control system of claim 4, wherein, The personalized low-iodine recommendation module is configured to generate a personalized low-iodine menu and patient guidance suggestions based on the low-iodine template, patient basic information, the iodine content database, and the patient diet record data, including: According to the iodine content and nutritional information corresponding to each diet item in the patient diet record data, the daily iodine content and nutritional information that has been ingested are calculated. According to the target iodine content and target nutritional information required by the low-iodine template, and the daily iodine content and nutritional information that has been ingested, the remaining iodine content budget and remaining nutritional budget are calculated. According to the remaining iodine content budget and remaining nutritional budget, and in combination with the patient diet record data, a personalized low-iodine menu and patient guidance suggestions are generated.

6. The personalized low-iodine diet control system of claim 1, wherein, The data management module is also configured to continuously collect patient diet record data. Correspondingly, the personalized low-iodine recommendation module is also configured to adjust and optimize the personalized low-iodine menu and patient guidance suggestions based on the latest patient diet record data.

7. The personalized low-iodine diet control system of claim 1, wherein, The risk assessment and early warning module is configured to estimate the daily iodine intake of the patient according to the patient diet record data and the patient examination data, and to perform risk assessment and early warning on the daily iodine intake of the patient according to the estimated daily iodine intake of the patient and the target daily iodine intake, including: calculating the iodine content difference between the daily iodine intake of the patient and the target daily iodine intake, and determining the early warning level according to the size of the iodine content difference; performing corresponding early warning measures according to the early warning level.

8. The personalized low-iodine diet control system of claim 1, wherein, The data management module supports dynamic authorization and field-level encryption storage based on roles and scenarios.

9. A personalized low-iodine diet control method based on artificial intelligence, characterized in that, It includes: collecting and recording the input low-iodine template corresponding to the iodine-131 treatment plan, the patient basic information, the iodine content database, the patient diet record data, and the patient examination data; preprocessing and normalizing the patient diet record data; generating a personalized low-iodine menu and generating patient guidance suggestions through a low-iodine diet algorithm according to the low-iodine template, the patient basic information, the iodine content database, and the patient diet record data, and issuing the personalized low-iodine menu and the patient guidance suggestions to the patient end; estimating the daily iodine intake of the patient according to the patient diet record data and the patient examination data, and performing risk assessment and early warning on the daily iodine intake of the patient according to the estimated daily iodine intake of the patient and the target daily iodine intake.

10. A computer-readable storage medium, characterized in that, A computer program is stored thereon, and the computer program is executed by a processor to implement the steps of the artificial intelligence-based personalized low-iodine diet control method according to claim 9.

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