Radiotherapy body position fixing temperature control device based on artificial intelligence

Abstract

The invention discloses a radiotherapy body position fixing temperature control device based on artificial intelligence, and relates to the field of medical equipment.The device comprises a main body supporting layer, a gas channel is arranged in the main body supporting layer, and the gas inlet end and the gas outlet end of the gas channel are connected with a gas flow input module; the heat preservation fixing layer is detachably connected with the main body supporting layer, and a thermoplastic film is arranged between the heat preservation fixing layer and the main body supporting layer to form a binding space for fixing a patient; the adjusting module comprises a detection element and a control element, the detection element is used for detecting current state parameters and transmitting the current state parameters to the control element, the control element is connected with the airflow input module, and the control element intelligently adjusts airflow output by the airflow input module based on the state parameters. Autonomous control of the temperature is achieved through the artificial intelligence technology, and the stability of body position fixing of a patient in the treatment process is ensured.

Description

Technical Field

[0001] This application relates to the field of medical devices, and in particular to an artificial intelligence-based temperature control device for fixing the position of a patient during radiotherapy. Background Technology

[0002] The core requirement of radiotherapy is to maintain the patient's position during treatment to ensure that the therapeutic rays accurately target the tumor. Clinically, the mainstream positioning device uses a carbon fiber fixation plate and a vacuum pad in conjunction with a thermoplastic membrane to stabilize the patient's position.

[0003] In related technologies, the fixation device requires patients to remove clothing from the treatment area and lie directly on the carbon fiber positioning plate during radiotherapy. This causes a rapid drop in the surface temperature of the contact area. Under cold stimulation, patients are prone to shivering and involuntary muscle contractions, which can lead to positional errors, increasing the risk of unintended irradiation of normal tissues and thus affecting the accuracy and final efficacy of the treatment.

[0004] To address the problem that the lack of intelligent temperature control in body positioning therapy devices affects treatment efficacy, this application proposes an artificial intelligence-based body positioning temperature control device for radiotherapy. Summary of the Invention

[0005] The purpose of this application is to provide an artificial intelligence-based radiotherapy positioning and temperature control device that enables intelligent heating and heat preservation during radiotherapy, thereby improving the fixation and treatment effects.

[0006] To achieve the above objectives, this application provides the following solution: an artificial intelligence-based radiotherapy positioning and temperature control device, comprising: a main support layer, wherein a gas channel is provided within the main support layer, and the inlet and outlet ends of the gas channel are connected to an airflow input module; a heat-insulating and fixing layer, which is detachably connected to the main support layer, and a thermoplastic film is provided between the heat-insulating and fixing layer and the main support layer to form a restraint space for fixing the patient; and an adjustment module, comprising a detection element and a control element, wherein the detection element detects current state parameters and transmits them to the control element, and the control element is connected to the airflow input module through an electromagnetic flow regulating valve, which intelligently adjusts the airflow output by the airflow input module based on the state parameters.

[0007] In some embodiments, the state parameters include at least the temperature parameters of the patient's body surface, and the detection element includes a plurality of temperature sensors disposed on the main support layer and the thermal insulation fixing layer. The plurality of temperature sensors correspond to different positions on the patient's body surface. The temperature sensors detect the temperature parameters of the patient's body surface in real time and transmit them to the control element. The control element adjusts the flow rate of the airflow based on the temperature parameters.

[0008] In some embodiments, the state parameters further include the patient's basic physical data and treatment site information. The control element adjusts the airflow output by the airflow input module based on the state parameters, including: reading the patient's basic physical data; confirming the treatment site information based on the correspondence between multiple temperature sensors and different locations on the patient's body surface; confirming the treatment temperature based on a trained deep reinforcement learning model combined with the temperature parameters, the basic physical data, and the treatment site information; and adjusting the flow rate of the airflow output by the airflow input module based on the treatment temperature.

[0009] In some embodiments, the control element adjusts the temperature and flow rate of the airflow based on the temperature parameter, and further includes: when the temperature parameter detected by at least one of the temperature sensors exceeds a preset temperature threshold, the control element sends a command to the airflow input module to adjust the flow rate of the airflow through the external electromagnetic flow regulating valve to adjust the temperature of the corresponding area of ​​the main support layer.

[0010] In some embodiments, the adjustment module further includes a human-machine voice interaction module, which includes a voice input unit, a recognition unit, an output unit, and a manual input unit. The voice input unit is used to receive voice input commands, the recognition unit is used to recognize the voice input commands and generate voice adjustment commands, and the control element adjusts the airflow output by the airflow input module based on the voice adjustment commands. The manual input unit is used to receive manual input commands, the recognition unit receives the manual input commands and generates manual adjustment commands, and the control element adjusts the airflow output by the airflow input module based on the manual adjustment commands. The output unit includes a speaker and a display, and the output unit is communicatively connected to the recognition unit and the control element.

[0011] In some embodiments, the device further includes an alarm element, the status parameter further includes an airflow pressure parameter, the detection element includes a pressure sensor disposed in the gas channel, the pressure sensor detects the airflow pressure in the gas channel in real time and sends it to the control element; the control element is also used to confirm the temperature change rate based on the real-time temperature parameter, and when the airflow pressure is less than a pressure threshold or the temperature change rate is greater than a change threshold, the detection element sends an alarm command to the alarm element or pushes alarm information to the terminal device, and the alarm element alarms based on the alarm command.

[0012] In some embodiments, the main support layer is provided with a plurality of external openings, the thermal insulation and fixing layer is provided with a guide air channel, the guide air channel and the gas channel are connected through the external openings, and the thermal insulation and fixing layer and the external openings are detachably connected by a sealing buckle.

[0013] In some embodiments, two connecting valves are provided on the main support layer. The connecting valves are located on the main support layer. The inlet end of the gas channel is connected to the output end of the airflow input module through the connecting valves, and the outlet end of the gas channel is connected to the input end of the airflow input module through the other connecting valve.

[0014] In some embodiments, the material for preparing the thermal insulation and fixing layer is medical composite plastic, the thickness of the thermal insulation and fixing layer after inflation is 10mm, and a thermoplastic film is also provided between the thermal insulation and fixing layer and the main support layer.

[0015] In some embodiments, the main support layer is made of carbon fiber, and the gas channels within the main support layer are formed by laser etching.

[0016] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application provides an artificial intelligence-based radiotherapy positioning and temperature control device. It uses a thermoplastic film-supported confinement space between a main support layer and a thermal insulation layer to fix and confine the patient. Gas channels within the main support layer and thermal insulation layer are connected to an airflow input module, enabling temperature control of various body parts. When a constant-temperature airflow passes through the gas channels, it maintains the temperature of the confinement space, preventing a rapid drop in the patient's surface temperature. Control elements adjust the airflow rate to achieve effective temperature control. Furthermore, the intelligent temperature control via the gas channels minimizes the impact on the radiotherapy process. This ensures the patient receives fixation and treatment under suitable temperature conditions, improving the effectiveness of fixation and radiotherapy. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the main body of the body positioning fixation device in one embodiment of this application.

[0019] Figure 2 This is a schematic diagram of the thermal insulation layer and the airflow channel in one embodiment of this application.

[0020] Figure 3 This is a schematic diagram of the air inlet and air outlet structures in one embodiment of this application.

[0021] Figure 4 This is a side view of a body positioning device in one embodiment of this application.

[0022] Figure 5 This is a schematic diagram of a deep reinforcement learning model in one embodiment of this application.

[0023] Reference numerals: 1. Main support layer; 2. Gas channel; 3. Thermal insulation and fixing layer; 4. Airflow input module; 5. Temperature sensor; 6. Pressure sensor; 7. Inlet electromagnetic flow regulating valve; 8. Outlet electromagnetic flow regulating valve; 9. Sealing buckle; 10. Thermoplastic film; 11. Guide air channel; D1-D3, First air inlet; D4-D6, First air outlet; E1-E3, Second air inlet; E4-E6, Second air outlet; F1-F3, Third air inlet; F4-F6, Third air outlet. Detailed Implementation

[0024] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0026] like Figures 1-5As shown in the figure, this application provides an artificial intelligence-based radiotherapy body positioning and temperature control device, including: a main support layer 1, in which a gas channel 2 is provided, the inlet and outlet of the gas channel 2 being connected to an airflow input module 4; a heat insulation and fixing layer 3, which is detachably connected to the main support layer 1, and a thermoplastic film 10 is provided between the heat insulation and fixing layer 3 and the main support layer 1 to form a restraint space for fixing the patient; and an adjustment module, which includes a detection element and a control element. The detection element is used to detect the current state parameters and transmit them to the control element. The airflow input module 4 is connected to the gas channel 2 through an electromagnetic flow regulating valve. The control element controls the electromagnetic flow regulating valve based on the state parameters to adjust the airflow output by the airflow input module 4, thereby intelligently adjusting the temperature of various parts of the main support layer 1 and the heat insulation and fixing layer 3.

[0027] The AI-based radiotherapy positioning and temperature control device in this embodiment uses a thermoplastic film-supported confinement space between the main support layer 1 and the thermal insulation layer 3 to fix and confine the patient. A gas channel 2 within the main support layer 1, connected to an airflow input module 4, enables temperature control. When a constant-temperature airflow passes through the gas channel 2, it maintains the temperature of the confinement space, preventing a rapid drop in the patient's surface temperature. Intelligent adjustment of the airflow via control elements achieves effective temperature control. Furthermore, temperature control through the gas channel 2 minimizes the impact on the radiotherapy process. This ensures the patient receives fixation and treatment under suitable temperature conditions, improving the effectiveness of fixation and radiotherapy.

[0028] Please refer to Figures 1-2 For example, in this embodiment, the main support layer 1 is made of carbon fiber, and the gas channel 2 within the main support layer 1 is formed by laser etching. Constant temperature is achieved through hot air circulation within the gas channel 2, with no metal components (such as heating wires) throughout the process, avoiding the absorption and scattering of X-rays by metals. This results in an X-ray attenuation rate of <0.8%, fully compatible with mainstream radiotherapy rays such as high-energy X-rays (6-15MV) and electron beams (6-20MeV), eliminating the risk of image metal artifacts. The gas channel 2 is formed in a "U" shape using laser etching technology (with a forming accuracy of ±0.05mm), achieving uniform distribution of hot airflow (temperature difference between regions ≤0.5℃). For example, the thermal insulation and fixing layer 3 is made of medical-grade PEI / PES composite plastic, with a total thickness of 10mm after inflation and a body thickness of 0.3mm. During radiotherapy, the ray attenuation rate is <0.1%, forming a surface temperature locking layer (heat loss rate <5% / h). To create a comfortable and stable temperature environment for patients, and to minimize radiation attenuation by eliminating the structure of metal wires in the device.

[0029] In this application, the main support layer 1 has multiple external openings, and the thermal insulation and fixation layer 3 has a guiding airway 11. The guiding airway 11 is connected to the gas channel 2 through the external openings, and the thermal insulation and fixation layer 3 and the external openings are detachably connected by a sealing buckle 9. The gas channel 2 inside the main support layer 1 allows for the passage of constant-temperature airflow. The guiding airway 11 and the gas channel 2 are connected by the external openings, enabling the constant-temperature airflow to act on the entire sealed restraint space, ensuring effective heat preservation for different parts of the patient. The thermal insulation and fixation layer 3, as an external restraint component, has a softened surface, allowing it to adapt to various radiotherapy scenarios such as the chest, abdomen, pelvis, and neck and shoulders through deformation. This allows it to better conform to the patient's body surface, creating an effective fixation space. The sealing buckle 9 connects the external openings and the thermal insulation and fixation layer 3, facilitating installation, disassembly, and replacement. The replacement cycle is controlled within 2 minutes, making it more convenient to use. The airflow channels 11 within the insulation and fixation layer 3 are divided into multiple regions. Each region's airflow channel 11 has an "S"-shaped bend, which increases the area for heat exchange and better maintains a suitable temperature range. For example, the insulation and fixation layer has three airflow channels 11, thus dividing the space into three regions corresponding to the upper, middle, and lower parts of the patient's body. Each airflow channel 11 is connected to the gas channel 2 via an external opening, thereby enabling gas flow through each airflow channel 11 and facilitating individual control.

[0030] In some embodiments, the main support layer 1 is provided with 6 array-type interfaces, including first air inlets D1-D3 and first air outlets D4-D6. The air inlet end of the guide air duct 11 is provided with second air inlets E1-E3, which are used to input airflow into each guide air duct 11.

[0031] like Figures 1-3 As shown, the airflow input module 4 is connected to an electromagnetic flow regulating valve. Three gas channels 2 are provided within the main support layer 1, each corresponding to a plurality of guide air channels 11. The inlet end of each gas channel 2 is provided with a third inlet F1-F3, which connects to the first inlets D1-D3 and the corresponding gas channels 2, thereby delivering airflow into each gas channel 2. The outlet end of each gas channel 2 is provided with a third outlet F1-F3, which connects to the first outlets D4-D6 and the corresponding gas channels 2, respectively.

[0032] The first air intake ports D1-D3 are connected to the electromagnetic flow control valve via hoses to the output end of the airflow input module 4. The outlet end of the gas channel 2 is connected to the input end of the airflow input module 4 via another electromagnetic flow control valve. Specifically, the two electromagnetic flow control valves are the intake electromagnetic flow control valve 7 and the outlet electromagnetic flow control valve 8.

[0033] There are three intake electromagnetic flow regulating valves 7, each with three airflow input ports A. Each intake electromagnetic flow regulating valve 7 corresponds to one airflow input port, and the three airflow input ports A are respectively connected to the first intake port D1-D3 via hoses.

[0034] The outlet electromagnetic flow regulating valve 8 has three interfaces, including three airflow output ports B. These ports B are connected to the first outlet ports D4-D6 via flexible hoses. The other end of the outlet electromagnetic flow regulating valve 8 is connected to the air inlet of the airflow input module 4. When the airflow input module 4 is working, the airflow sequentially passes through the inlet electromagnetic flow regulating valve 7, the gas channel 2, the guide air duct 11 on the insulation layer 3, and the outlet electromagnetic flow regulating valve 8, finally returning to the airflow input module 4, completing the circulation of constant-temperature airflow. The flexible plastic hoses are made of medical-grade heat-stabilized plastic, which is less prone to deformation when the temperature inside the pipe rises, resulting in a more stable overall structure and enabling long-term effective circulation of constant-temperature airflow. By adjusting the inlet electromagnetic flow regulating valve 7 and the outlet electromagnetic flow regulating valve 8, the flow rate of the gas in the inlet channel 2 and guide air duct 11 in different areas can be adjusted, thereby achieving temperature adjustment in different areas by changing the flow rate.

[0035] In some embodiments, an external opening communicating with the gas channel 2 is provided on the main support plate 1. The second air inlets E1-E3 on the thermal insulation fixing layer 3 are connected to the external opening through sealing buckles 9. The external opening also connects to the gas channel 2 and the guide airway 11, ensuring the flow of constant-temperature airflow. The sealing buckles 9 are used to achieve a seal, preventing airflow leakage. The second air outlets E4-E6 are connected to the external opening on the other side, used to discharge the airflow in the guide airway 11 and output it through the gas channel 2 to the first air outlets D4-D6 for airflow circulation.

[0036] In some embodiments, a three-way connecting valve can be used to connect the first air inlet D1-D3 (air outlet D4-D6), the second air inlet E1-E3 (air outlet E4-E6), and the third air inlet F1-F3 (air outlet F4-F6), thereby enabling airflow communication between the hose, the gas channel 2, and the guide airway 11.

[0037] like Figure 4 As shown, for example, a thermoplastic film 10 is also provided between the thermal insulation and fixing layer 3 and the main support layer 1. The structure of the thermoplastic film 10 can improve the fixation effect on the patient and at the same time improve the thermal insulation performance.

[0038] The airflow control in this application is described below: The state parameters include at least the temperature parameters of the patient's body surface. The detection elements include multiple temperature sensors 5 mounted on the main support layer 1 and the thermal insulation layer 3. Each temperature sensor 5 corresponds to a different location on the patient's body surface. The temperature sensors 5 detect the temperature parameters of the patient's body surface in real time and transmit them to the control element. The control element intelligently adjusts the airflow velocity based on the temperature parameters to regulate the temperature of each part (e.g., increasing the flow velocity to improve the heat exchange rate, thereby achieving a slight increase in temperature). The different locations on the patient's body surface include: upper chest, lower chest, upper waist, lower waist, pelvis, etc. The surface temperature in different areas may vary; multiple temperature sensors 5 can effectively detect the surface temperature at different locations, obtaining more comprehensive and accurate data.

[0039] For example, the status parameters also include the patient's basic physical data. The control element obtains the patient's basic physical data, such as height, weight, and body mass index (BMI), by reading records. Based on the status parameters, the control element intelligently adjusts the airflow output by the airflow input module 4, and further includes: The system reads the patient's basic body data; confirms the treatment site information based on the correspondence between multiple temperature sensors 5 and different locations on the patient's body surface; confirms the treatment temperature based on a trained deep reinforcement learning model (DQN) combined with temperature parameters, basic body data, and treatment site information; and intelligently adjusts the airflow velocity output by the airflow input module 4 based on the treatment temperature.

[0040] In some embodiments, the control element includes a central controller. After confirming the treatment temperature, the control element sends a command to the airflow input module 4, causing it to output airflow at a specified temperature, thereby creating an ideal temperature environment for the patient's radiotherapy.

[0041] like Figure 5 As shown, the model described above is a Deep Reinforcement Learning (DQN) model. DQN accurately extracts the local spatial distribution features of body surface temperature at different locations (chest, abdomen, pelvis, etc.), capturing the dynamic dependence of temperature changes over treatment time. Combined with patient comfort feedback, reinforcement learning is used to obtain a temperature control agent that can automatically adjust the airflow velocity in each area. This agent has the ability to automatically maintain the temperature of the fixed device within the patient's specific comfort range during treatment without human intervention. The model training dataset covers variables across all clinical scenarios, including the patient's baseline body surface temperature (20–36℃), treatment sites (chest, abdomen, pelvis, limbs), and basic body data such as BMI (18–30 kg / m²). 2Key parameters such as temperature control are used to ensure temperature control adaptability for different individuals and scenarios. Based on the above model, after controlling the airflow velocity, the model can be fed back and rewarded based on the patient's comfort level, ultimately ensuring that the temperature environment created by the device is within the patient's comfort range. This maintains the temperature during radiotherapy, preventing patient discomfort and ensuring the effective conduct of radiotherapy.

[0042] The process by which the control element adjusts the airflow temperature and velocity based on temperature parameters also includes: when the temperature parameter detected by at least one temperature sensor 5 exceeds a preset temperature threshold, the control element sends a command to the airflow input module 4 to reduce the airflow velocity and / or reduce the airflow temperature. Multiple temperature sensors 5 detect the surface temperature of the patient at different locations; when it exceeds a temperature threshold, it indicates that the patient may feel discomfort at that location. The preset temperature threshold can be 24~28℃. Temperature regulation is achieved by reducing the airflow velocity and lowering the temperature of the incoming airflow. Through closed-loop circulation and precise control, dynamic temperature stability across the entire area is ensured.

[0043] For example, the airflow input module 4 includes a small compressor, a heating module, and an airflow regulating unit. The small compressor generates airflow, and the heating module is positioned in the airflow path. The heating module raises the temperature of the airflow, and adjusting its power changes the temperature of the constant-temperature airflow. The airflow regulating unit, such as an electrically controlled valve, regulates the airflow velocity. Changing the valve's opening changes the velocity of the constant-temperature airflow. When the velocity of the constant-temperature airflow decreases, the airflow exchanging heat with the patient's body surface slows down, thus achieving the same temperature regulation effect.

[0044] In some embodiments, the adjustment module further includes a human-machine voice interaction module, which includes a voice input unit, a recognition unit, an output unit, and a manual input unit.

[0045] The voice input unit accepts voice input commands, the recognition unit recognizes the voice input commands and generates voice adjustment commands, and the control element adjusts the airflow output by the airflow input module 4 based on the voice adjustment commands.

[0046] The manual input unit accepts manual input commands, the recognition unit receives the manual input commands and generates manual adjustment commands, and the control element adjusts the airflow output by the airflow input module 4 based on the manual adjustment commands.

[0047] When temperature adjustment is required, patients can adjust the temperature via voice commands, while medical staff can adjust the corresponding parameters manually or via voice commands. The output unit includes a speaker and a display, and is communicatively connected to the recognition unit and control elements. In some embodiments, the display includes a 7-inch LCD touchscreen for real-time temperature data display. The voice input unit includes a microphone, which is communicatively connected to the remaining recognition units to receive voice input commands and transmit them to the recognition units. The recognition unit can be integrated into the central controller described above or can be a separate controller for human-computer interaction.

[0048] The device in this embodiment further includes an alarm element, and the status parameters include airflow pressure parameters. The detection element includes a pressure sensor 6 disposed in the gas channel 2 and the guide airway 11. The pressure sensor 6 detects the airflow pressure in the gas channel 2 in real time and sends it to the control element. The control element is also used to confirm the rate of temperature change based on real-time temperature parameters. When the airflow pressure is less than a pressure threshold or the rate of temperature change is greater than a change threshold, the detection element sends an alarm command to the alarm element or pushes alarm information to the terminal device. The alarm element alarms based on the alarm command. The pressure threshold is 0.5 kPa, and the change threshold is 2 °C / min. When the airflow pressure is less than the pressure threshold, it indicates that airflow blockage may have occurred. When a sudden temperature change occurs, it indicates that the temperature sensor 5 may have malfunctioned. The alarm element issues an alarm to provide a prompt; the alarm element includes a buzzer, alarm light, etc. The detection element sends alarm information to terminal devices such as medical terminals to complete data push, enabling medical personnel to detect abnormalities in a timely manner.

[0049] The working steps of the device in the embodiments of this application are described below: 1. Fix the patient's position before treatment.

[0050] The patient first lies on the main support layer 1. Medical staff use thermoplastic film 10 to fix the patient's position. Then, the corresponding body part of the heat preservation and fixation layer 3 is precisely fastened to the main support layer 1 through sealing buckle 9. The thermoplastic film 10 is used to fix and wrap the heat preservation and fixation layer 3 to restrict the patient's displacement (error ≤1mm), thus forming a precise fixation of the position.

[0051] 2. After fixing, perform initial temperature acquisition and initialization settings.

[0052] The patient's body surface temperature is collected in real time by temperature sensors 5 in each zone (upper chest, lower chest, upper waist, lower waist, and pelvis) and uploaded to the control element. The artificial intelligence algorithm combines the patient's BMI, treatment site, ambient temperature and other parameters to generate personalized initial parameters (such as chest and abdomen 26℃ / flow rate 1.2m / s).

[0053] 3. Start the constant temperature airflow circulation and intelligently and dynamically adjust the temperature through the adjustment module.

[0054] The small compressor is started to inject constant temperature airflow into gas channel 2 and guide air channel 11. The airflow is evenly distributed to each coverage area along the "U" shaped channel and "S" shaped air channel to maintain a stable surface temperature. Temperature sensors 5 of each zone collect the temperature of the corresponding area in real time and upload it to the artificial intelligence algorithm model. The detection element monitors the temperature status of each area at a frequency of 1 time / second. When the temperature of a certain area exceeds the preset temperature threshold (24~28℃), the airflow speed of the corresponding area is adjusted by adjusting the electromagnetic flow regulating valve connected to the module to achieve temperature adjustment. Through closed-loop circulation and precise control, the temperature of the entire area is dynamically stable.

[0055] 4. Human-computer interaction and personalized adjustment during treatment.

[0056] During treatment, patients can issue voice commands via microphone. The recognition unit parses the commands, generates corresponding adjustment instructions, and uploads them to the control element. A human algorithm model determines whether the command is safe. If so, the system sends the instruction to the corresponding module and makes the appropriate adjustment. If not, no adjustment is made. Simultaneously, medical staff can manually set parameters via a touchscreen display and store them in a cloud database.

[0057] 5. Anomaly monitoring and emergency response.

[0058] The detection element monitors the rate of change of airflow pressure and temperature in real time. If airflow blockage (pressure < 0.5 kPa) or sensor failure (sudden temperature change > 2℃ / min) is detected, an audible and visual alarm (80dB buzzer + red flashing light) is triggered on the medical control room workstation, and alarm information is pushed to the medical terminal to locate the faulty module (such as a temperature sensor 5 failing).

[0059] 6. End of treatment and equipment maintenance.

[0060] After treatment, medical staff can remove the sealing clips 9 and thermoplastic film 10, allowing each component to be disassembled for cleaning or replacement, storing temperature control data, and sending relevant data from the treatment process to the cloud to support subsequent optimization of the treatment plan.

[0061] The AI-based radiotherapy positioning and temperature control device in this embodiment fixes and limits the patient's position through the restraint space between the main support layer 1 and the thermal insulation layer 3. The gas channel 2 within the main support layer 1, connected to the airflow input module 4, enables temperature control. When a constant-temperature airflow passes through the gas channel 2, it maintains the temperature of the restraint space, preventing a rapid drop in the patient's surface temperature. An electromagnetic flow regulating valve, controlled by a control element, adjusts the airflow, achieving effective temperature control. Furthermore, temperature control via the gas channel 2 minimizes the impact on the radiotherapy process. This ensures the patient receives fixation and treatment under suitable temperature conditions, improving the effectiveness of fixation and radiotherapy.

[0062] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0063] The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0064] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0065] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. An artificial intelligence-based radiotherapy body position fixation temperature control device, characterized in that, The artificial intelligence-based radiotherapy body position fixing temperature control device comprises: a main body support layer (1) provided with a gas passage (2) therein, the gas passage (2) being connected with a gas flow input module (4) at an air inlet end and an air outlet end; a heat preservation fixing layer (3) detachably connected with the main body support layer (1), a heat plastic film (10) being arranged between the heat preservation fixing layer (3) and the main body support layer (1) to form a binding space for fixing a patient; an adjusting module comprising a detection element and a control element, the detection element being used for detecting a current state parameter and transmitting the same to the control element, the gas flow input module (4) being connected with the gas passage (2) through an electromagnetic flow adjusting valve, the control element being used for controlling the electromagnetic flow adjusting valve based on the state parameter to adjust the gas flow output by the gas flow input module (4), so as to intelligently adjust the temperature of each part of the main body support layer (1) and the heat preservation fixing layer (3).

2. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 1, characterized in that, The state parameter at least comprises a temperature parameter of a patient's body surface, the detection element comprises a plurality of temperature sensors (5) arranged on the main body support layer (1) and the heat preservation fixing layer (3), the plurality of temperature sensors (5) respectively corresponding to different positions of the patient's body surface, the temperature sensors (5) being used for detecting the temperature parameter of the patient's body surface in real time and transmitting the same to the control element, the control element being used for adjusting the flow rate of the gas flow based on the temperature parameter.

3. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 2, characterized in that, The state parameter further comprises basic body data and treatment site information of the patient, the control element intelligently adjusting the gas flow output by the gas flow input module (4) based on the state parameter, comprising: reading the basic body data of the patient; confirming the treatment site information according to the correspondence between the plurality of temperature sensors (5) and the different positions of the patient's body surface; confirming a treatment temperature based on a trained deep reinforcement learning model in combination with the temperature parameter, the basic body data and the treatment site information; intelligently adjusting the flow rate of the gas flow output by the gas flow input module (4) based on the treatment temperature.

4. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 3, characterized in that, The control element intelligently adjusts the temperature and flow rate of the gas flow based on the temperature parameter, further comprising: when the temperature parameter detected by at least one of the temperature sensors (5) exceeds a preset temperature threshold, the control element sends an instruction to the gas flow input module (4) to adjust the flow rate of the gas flow through the externally connected electromagnetic flow adjusting valve to adjust the temperature of the corresponding area of the main body support layer (1).

5. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 2, characterized in that, The adjusting module further comprises a man-machine voice interaction module, the man-machine voice interaction module comprising a voice input unit, an identification unit, an output unit and a manual input unit; the voice input unit being used for accepting a voice input instruction, the identification unit being used for identifying the voice input instruction and generating a voice adjusting instruction, the control element being used for intelligently adjusting the gas flow output by the gas flow input module (4) according to the voice adjusting instruction. The manual input unit is used for accepting a manual input instruction, the recognition unit is further used for receiving the manual input instruction and generating a manual adjustment instruction, and the control element is further used for adjusting the airflow output by the airflow input module (4) according to the manual adjustment instruction. The output unit includes a speaker and a display, and is communicatively connected to the recognition unit and the control element.

6. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 2, characterized in that, The device further includes an alarm element, the state parameters further include an airflow pressure parameter, the detection element includes a pressure sensor (6) arranged in the gas channel (2), the pressure sensor (6) detects the airflow pressure in the gas channel (2) in real time and sends the airflow pressure to the control element, the control element is further used for confirming a temperature change rate according to the real-time temperature parameter, and when the airflow pressure is less than a pressure threshold value or the temperature change rate is greater than a change threshold value, the detection element sends an alarm instruction to the alarm element or pushes alarm information to a terminal device, and the alarm element alarms based on the alarm instruction.

7. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 2, characterized in that, A plurality of external openings are arranged on the main body support layer (1), a flow guide air duct (11) is arranged in the heat preservation fixing layer (3), the flow guide air duct (11) and the gas channel (2) are in communication through the external openings, and the heat preservation fixing layer (3) and the external openings are detachably connected through sealing buckles (9).

8. The artificial intelligence-based radiotherapy position fixation temperature control device according to claim 7, characterized in that, The electromagnetic flow regulating valve includes an air inlet electromagnetic flow regulating valve (7) and an air outlet electromagnetic flow regulating valve (8), the gas channel (2) and the flow guide air duct (11) are provided in plurality, and the air inlet end and the air outlet end of each gas channel (2) are connected to the airflow input module (4) through the air inlet electromagnetic flow regulating valve (7) and the air outlet electromagnetic flow regulating valve (8) respectively.

9. The artificial intelligence based radiotherapy position fixation temperature control device according to any one of claims 1-8, characterized in that, The preparation material of the heat preservation fixing layer (3) is a medical composite plastic, and the thickness of the heat preservation fixing layer (3) after inflation is 10 mm.

10. The artificial intelligence based radiotherapy position fixation temperature control device according to any one of claims 1-8, characterized in that, The preparation material of the main body support layer (1) is carbon fiber, and the gas channel (2) in the main body support layer (1) is formed by laser etching.

Images