Malignant tumor traditional Chinese medicine peaceful treatment and care teaching system based on AI + VR

Abstract

The invention relates to the technical field of traditional Chinese medicine education and medical care, and particularly discloses a malignant tumor traditional Chinese medicine calming treatment and care teaching system based on AI + VR, and the system comprises the steps: constructing malignant tumor traditional Chinese medicine calming treatment and care knowledge and capability maps, and screening and extracting typical service cases of malignant tumor patient traditional Chinese medicine calming treatment and care; a traditional Chinese medicine peaceful treatment and protection knowledge framework of malignant tumor patients is used as a basis, and a peaceful treatment and protection course cultivation target is fused; the course cultivation targets comprise a knowledge target, a skill target and an emotional attitude target; according to the invention, an efficient AI + VR traditional Chinese medicine peaceful treatment and care teaching system integrating teaching, practice and evaluation is constructed, a convenient learning way is provided for learners, the learning experience is personalized, and the clinical skill and accomplishment are improved; a database containing diversified teaching resources such as typical cases, teaching videos and interactive simulation is established, rich learning materials and actual practice opportunities are provided for learners, and learning interestingness and effectiveness are enhanced.

Description

Technical Field

[0001] The present invention belongs to the field of traditional Chinese medicine education and medical care technology, and specifically relates to a traditional Chinese medicine palliative care teaching system for malignant tumors based on AI+VR. Background Art

[0002] In the field of TCM education and medical care, the traditional palliative care teaching model mainly relies on classroom teaching, clinical observation and paper teaching materials. This method has the following main problems and shortcomings:

[0003] Limited teaching resources: Palliative care education resources are scarce. The traditional teaching model is limited by the availability of teaching venues, teaching staff, and patient resources, making it difficult for all students to obtain sufficient practical opportunities and intuitive experience.

[0004] High teaching costs: Organizing students to observe clinical practice requires a lot of manpower, material resources and time, and is restricted by hospital management regulations and patient privacy protection. In addition, the high mobility of patients makes it difficult to maintain teaching continuity.

[0005] Teaching content needs to be improved: Compared with Western medicine palliative care, traditional Chinese medicine, appropriate traditional Chinese medicine technology, and traditional Chinese medicine emotional therapy have the advantages of simple operation, wide application, low cost, significant effect, mild effect, and high patient acceptance, which better meet the needs of patients with malignant tumor palliative care and their families. However, relevant research on the teaching system of traditional Chinese medicine palliative care has not been reported;

[0006] Single learning experience: Students lack knowledge and experience in palliative care and little life experience. They mainly understand the process and effects of TCM palliative care through text descriptions and pictures. They lack immersion and interactivity, and find it difficult to understand and master relevant knowledge.

[0007] Lack of evaluation and feedback mechanism: The evaluation of students' learning outcomes mainly relies on exams and homework, lacking timely feedback and targeted guidance.

[0008] In view of the problems and shortcomings of the prior art, the present invention aims to provide a malignant tumor traditional Chinese medicine palliative care teaching system based on AI+VR, which achieves the following technical objectives by integrating AI and VR technologies:

[0009] Enrich teaching resources: Combine AI and virtual reality technology to build a knowledge graph of palliative care, establish an expert system through AI deep learning, build a virtual palliative care scenario, simulate the real diagnosis and treatment process and patient care environment, and carry out immersive teaching, so that students can learn and practice in a safe and controllable environment;

[0010] Reduce teaching costs: Conduct teaching research based on an educational technology platform. Students use the palliative care knowledge graph to improve their learning efficiency. After in-depth study of palliative care teaching materials, AI teaching assistants answer students' questions, reduce dependence on actual clinical resources and venues, reduce various costs in the teaching process, and improve teaching efficiency and resource utilization.

[0011] Improve learning experience: Through the immersive experience of VR, students can experience the process and effect of TCM palliative care in person, including assessing symptoms and needs, providing TCM appropriate technology to improve discomfort symptoms, providing TCM emotional care to improve psychological problems, providing dietary therapy to improve nutritional support, providing VR treatment, color, aroma, music therapy, etc. Break the limitations of time and space and enhance the intuitiveness and interactivity of learning;

[0012] Improve the evaluation and feedback mechanism: Use AI technology to evaluate students' learning outcomes in real time and provide instant feedback and guidance to help students adjust their learning strategies in a timely manner and improve their learning outcomes. In-depth analysis of students' learning behaviors, progress and results can be used to accurately produce personalized learning reports. Summary of the invention

[0013] The purpose of the present invention is to provide an AI+VR-based traditional Chinese medicine palliative care teaching system for malignant tumors to solve the problems raised in the above-mentioned background technology.

[0014] To achieve the above object, the present invention provides the following technical solutions:

[0015] An AI+VR-based teaching system for palliative care of malignant tumors using traditional Chinese medicine, including: constructing a knowledge and capability map of palliative care of malignant tumors using traditional Chinese medicine, which is used to screen and extract typical service cases of palliative care of malignant tumor patients using traditional Chinese medicine, based on the knowledge framework of palliative care of malignant tumor patients using traditional Chinese medicine, and integrating the training objectives of palliative care courses;

[0016] Preferably, the course training objectives include knowledge objectives, skill objectives and emotional attitude objectives;

[0017] Preferably, the knowledge goal is to master the indications of traditional Chinese medicine in palliative care of malignant tumors, the skill goal is to be proficient in the appropriate techniques of traditional Chinese medicine nursing, and the emotional attitude goal is to cultivate empathy and humanistic care for patients;

[0018] From the above, it can be seen that this invention is based on the theoretical system of traditional Chinese medicine, sorts out and selects the indications of traditional Chinese medicine, appropriate traditional Chinese medicine nursing technology, and traditional Chinese medicine emotional nursing in the palliative care of patients with malignant tumors, screens and refines typical cases of traditional Chinese medicine palliative care services for patients with malignant tumors, and takes the knowledge framework of traditional Chinese medicine palliative care for patients with malignant tumors as the basis, integrates the training objectives of palliative care courses, and thus constructs a knowledge-ability map guided by core competencies and constructivist theory.

[0019] Design and implement a TCM palliative care teaching system for malignant tumors based on AI+VR technology, and use VR technology to build a realistic clinical environment, operation scene, and learning software to enhance the immersion and realism of learning;

[0020] Preferably, the TCM palliative care teaching system for malignant tumors includes AI teaching assistants, AI standardized robots, offline classroom teaching, palliative care VR scenes and learning software;

[0021] Preferably, the AI ​​teaching assistant is used to track learning progress and results and record grades, and the AI ​​standardized robot is used to interact with learners in real time and help students build a knowledge system;

[0022] From the above, we can see that the following teaching scenarios can be constructed:

[0023] Teaching scenario design 1: Based on a certain educational technology platform, students interact with 24-hour online AI teaching assistants to complete online learning, ask questions, and self-test. The AI ​​teaching assistants track learning progress and results and record grades.

[0024] Teaching scenario design 2: Teachers deepen students’ understanding by teaching key and difficult knowledge, combined with case analysis and discussion. Practical demonstrations of TCM nursing appropriate techniques, TCM emotional nursing and other skills are used for offline teaching.

[0025] Teaching scenario design three: An AI educational robot learns the corpus of traditional Chinese medicine palliative care for malignant tumors, transforms into an AI standardized patient, interacts with learners in real time, and helps students build a knowledge system.

[0026] Teaching scenario design 4: Teachers use VR technology to build realistic clinical environments, operation scenarios, and learning software, so that students can perform practical operations and drills in a virtual and real environment, enhancing the immersion and realism of learning.

[0027] The teaching activities of the TCM palliative care teaching system for malignant tumors are designed as follows:

[0028] During the theoretical study phase:

[0029] Teachers should prepare materials: upload videos and documents related to TCM palliative care for malignant tumors to an educational technology platform, set up online self-study modules and track learning progress;

[0030] Online learning for students: AI teaching assistants answer questions instantly and intelligently recommend personalized learning resources based on students’ learning progress and performance, promoting in-depth learning;

[0031] Offline or online knowledge-competency mapping workshop: Through group discussions, case analysis, etc., students can deepen their understanding of the knowledge framework and form individual or group knowledge-competency maps;

[0032] Offline classes: Teachers devote themselves to teaching with full enthusiasm, integrate concepts such as Chinese medicine culture and humanistic care into teaching, strengthen interaction between teachers and students, explain key points and difficulties, demonstrate appropriate technical operations of Chinese medicine nursing, discuss hot issues in groups, and cultivate critical thinking and collaboration skills.

[0033] In the practical operation stage:

[0034] Students wear VR equipment and enter a simulated palliative care scene for malignant tumors to communicate with and care for patients;

[0035] Students practiced simulated palliative care on AI standardized patients. An AI educational robot gave students feedback and guidance based on preset scripts and real-time interactions, helping them improve their practical skills and ability to cope with complex situations.

[0036] Teachers organize groups to discuss real or simulated cases of palliative care for malignant tumors using traditional Chinese medicine. Students are encouraged to apply what they have learned and propose solutions.

[0037] Formative teaching assessment design:

[0038] Process evaluation: evaluate students' learning enthusiasm and knowledge mastery based on learning progress, AI teaching assistant interaction, VR scene experience, group discussion and other aspects of participation, AI teaching assistant automatic question setting and evaluation on a certain educational technology platform;

[0039] Result evaluation: organize simulation operation assessments in VR scenarios, VR software assessments, submit case reports, peer evaluations and self-evaluations, and evaluate students' learning outcomes and performance. Give them personalized feedback and guidance based on their performance to help them clarify their learning and improvement directions, and further optimize the system;

[0040] Implementation of the teaching system: With third-year nursing students in colleges and universities as the teaching objects, in the "Palliative Care" course, based on the knowledge-ability map of palliative care for malignant tumors in traditional Chinese medicine, a teaching process combining online and offline, theory and practice, reality and virtuality is carried out. Empirical research is conducted to evaluate the results of students' palliative care knowledge and ability, understand the teaching feedback of teachers and students, and adjust the corresponding content in a timely manner.

[0041] The training team will develop a teaching system for TCM palliative care of malignant tumors based on AI+VR technology, try it out among students, collect feedback, and improve and publicize the teaching system;

[0042] Preferably, the design technology route of the TCM palliative care teaching system for malignant tumors is problem analysis, problem solving and application verification;

[0043] Preferably, the methods used for analyzing the problem are literature research method, survey research method and expert consultation method, the methods used for solving the problem and application verification are both empirical research methods, and the problem solving is also operated by technology development method;

[0044] From the above, we can see that the innovation of the above teaching mode, teaching content and evaluation system to further improve the system function, publicize and promote the teaching system is as follows:

[0045] Innovation in teaching mode: Apply AI+VR technology to the teaching of TCM palliative care for malignant tumors. Breaking the monotony, dullness and time and space limitations of traditional medical education, it not only improves learners' interest and enthusiasm in learning, but also enhances the interactivity and sense of participation in the teaching process;

[0046] Innovation in teaching content: covers the indications and typical cases of traditional Chinese medicine, traditional Chinese medicine nursing and emotional nursing in palliative care of malignant tumors, and incorporates ideological and political elements and the concept of humanistic care;

[0047] Innovation in the evaluation system: The intelligent evaluation system based on AI technology can record and evaluate learners' learning data in real time. This evaluation system objectively provides learners with personalized learning suggestions and improvement directions, helping teachers to continuously optimize teaching strategies and methods.

[0048] Through the configuration of the above technical solution, the present invention achieves the following technical effects by integrating AI and VR technologies:

[0049] 1. Enrich teaching resources: Combine AI and virtual reality technology to build a knowledge graph of palliative care, establish an expert system through AI deep learning, build a virtual palliative care scenario, simulate the real diagnosis and treatment process and patient care environment, and carry out immersive teaching, so that students can learn and practice in a safe and controllable environment;

[0050] 2. Reduce teaching costs: Conduct teaching research based on a certain educational technology platform. Students use the palliative care knowledge graph to improve their learning efficiency. After in-depth study of palliative care teaching materials, AI teaching assistants answer students' questions, reduce dependence on actual clinical resources and venues, reduce various costs in the teaching process, and improve teaching efficiency and resource utilization.

[0051] 3. Improve learning experience: Through the immersive experience of VR, students can experience the process and effect of TCM palliative care in person, including assessing symptoms and needs, providing TCM appropriate technology to improve discomfort symptoms, providing TCM emotional care to improve psychological problems, providing dietary therapy to improve nutritional support, providing VR treatment, color, aroma, music therapy, etc., breaking the limitations of time and space and enhancing the intuitiveness and interactivity of learning;

[0052] 4. Improve the evaluation and feedback mechanism: Use AI technology to evaluate students' learning outcomes in real time and provide immediate feedback and guidance to help students adjust their learning strategies in a timely manner and improve their learning outcomes. In-depth analysis of students' learning behaviors, progress and results can be used to accurately produce personalized learning reports.

[0053] In summary, the present invention constructs an efficient AI+VR TCM palliative care teaching system that integrates teaching, practice, and evaluation, providing learners with a convenient learning path and personalized learning experience, and improving clinical skills and literacy;

[0054] Establish a database containing diversified teaching resources such as typical cases, teaching videos, interactive simulations, etc., to provide learners with rich learning materials and practical exercise opportunities, and enhance the interest and effectiveness of learning.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The present invention achieves the following technical effects by integrating AI and VR technologies:

[0057] 1. Enrich teaching resources: Combine AI and virtual reality technology to build a knowledge graph of palliative care, establish an expert system through AI deep learning, build a virtual palliative care scenario, simulate the real diagnosis and treatment process and patient care environment, and carry out immersive teaching, so that students can learn and practice in a safe and controllable environment;

[0058] 2. Reduce teaching costs: Conduct teaching research based on a certain educational technology platform. Students use the palliative care knowledge graph to improve their learning efficiency. After in-depth study of palliative care teaching materials, AI teaching assistants answer students' questions, reduce dependence on actual clinical resources and venues, reduce various costs in the teaching process, and improve teaching efficiency and resource utilization.

[0059] 3. Improve learning experience: Through the immersive experience of VR, students can experience the process and effect of TCM palliative care in person, including assessing symptoms and needs, providing TCM appropriate technology to improve discomfort symptoms, providing TCM emotional care to improve psychological problems, providing dietary therapy to improve nutritional support, providing VR treatment, color, aroma, music therapy, etc., breaking the limitations of time and space and enhancing the intuitiveness and interactivity of learning;

[0060] 4. Improve the evaluation and feedback mechanism: Use AI technology to evaluate students' learning outcomes in real time and provide immediate feedback and guidance to help students adjust their learning strategies in a timely manner and improve their learning outcomes. In-depth analysis of students' learning behaviors, progress and results can be used to accurately produce personalized learning reports. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 This is a knowledge framework diagram of TCM palliative care for malignant tumor patients based on the symptom network model of the present invention;

[0062] Figure 2 This is the knowledge and ability map of TCM palliative care for malignant tumors of the present invention;

[0063] Figure 3 A diagram for constructing a virtual-real integration teaching scenario for the TCM palliative care of malignant tumors of the present invention;

[0064] Figure 4 It is a structural schematic diagram of the teaching activity and evaluation design scheme of TCM palliative care for malignant tumors based on AI+VR of the present invention;

[0065] Figure 5 This is a technical roadmap for the design and implementation of the TCM palliative care teaching system for malignant tumors based on AI+VR in the present invention. DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] Embodiment 1

[0068] like Figure 1-5 As shown, a teaching system for TCM palliative care of malignant tumors based on AI+VR includes: constructing a knowledge and capability map of TCM palliative care of malignant tumors, which is used to screen and refine typical service cases of TCM palliative care of malignant tumor patients, based on the knowledge framework of TCM palliative care of malignant tumor patients, and integrating the training objectives of palliative care courses;

[0069] The present invention further specifically describes that the course training objectives include knowledge objectives, skill objectives and emotional attitude objectives;

[0070] The present invention further specifically describes that the knowledge goal is to master the indications of traditional Chinese medicine in palliative care of malignant tumors, the skill goal is to skillfully operate appropriate traditional Chinese medicine nursing techniques, and the emotional attitude goal is to cultivate empathy and humanistic care for patients;

[0071] From the above, it can be seen that this invention is based on the theoretical system of traditional Chinese medicine, sorts out and selects the indications of traditional Chinese medicine, appropriate traditional Chinese medicine nursing technology, and traditional Chinese medicine emotional nursing in the palliative care of patients with malignant tumors, screens and refines typical cases of traditional Chinese medicine palliative care services for patients with malignant tumors, and takes the knowledge framework of traditional Chinese medicine palliative care for patients with malignant tumors as the basis, integrates the training objectives of palliative care courses, and thus constructs a knowledge-ability map guided by core competencies and constructivist theory.

[0072] Embodiment 2

[0073] like Figure 1-5 As shown in the figure, a teaching system for palliative care of malignant tumors with traditional Chinese medicine based on AI+VR technology is designed and implemented. A realistic clinical environment, operation scenarios and learning software are constructed through VR technology to enhance the immersion and realism of learning.

[0074] The present invention further specifically details that the malignant tumor traditional Chinese medicine palliative care teaching system includes an AI teaching assistant, an AI standardized robot, offline classroom teaching, a palliative care VR scene and learning software;

[0075] The present invention further specifically details that the AI ​​teaching assistant is used to track learning progress and results and record grades, and the AI ​​standardized robot is used to interact with learners in real time and help students build a knowledge system;

[0076] From the above, we can see that the following teaching scenarios can be constructed:

[0077] Teaching scenario design 1: Based on a certain educational technology platform, students interact with 24-hour online AI teaching assistants to complete online learning, ask questions, and self-test. The AI ​​teaching assistants track learning progress and results and record grades.

[0078] Teaching scenario design 2: Teachers deepen students’ understanding by teaching key and difficult knowledge, combined with case analysis and discussion. Practical demonstrations of TCM nursing appropriate techniques, TCM emotional nursing and other skills are used for offline teaching.

[0079] Teaching scenario design three: An AI educational robot learns the corpus of traditional Chinese medicine palliative care for malignant tumors, transforms into an AI standardized patient, interacts with learners in real time, and helps students build a knowledge system.

[0080] Teaching scenario design 4: Teachers use VR technology to build realistic clinical environments, operation scenarios, and learning software, so that students can perform practical operations and drills in a virtual and real environment, enhancing the immersion and realism of learning.

[0081] The teaching activities of the TCM palliative care teaching system for malignant tumors are designed as follows:

[0082] During the theoretical study phase:

[0083] Teachers should prepare materials: upload videos and documents related to TCM palliative care for malignant tumors to an educational technology platform, set up online self-study modules and track learning progress;

[0084] Online learning for students: AI teaching assistants answer questions instantly and intelligently recommend personalized learning resources based on students’ learning progress and performance, promoting in-depth learning;

[0085] Offline or online knowledge-competency mapping workshop: Through group discussions, case analysis, etc., students can deepen their understanding of the knowledge framework and form individual or group knowledge-competency maps;

[0086] Offline classes: Teachers devote themselves to teaching with full enthusiasm, integrate concepts such as Chinese medicine culture and humanistic care into teaching, strengthen interaction between teachers and students, explain key points and difficulties, demonstrate appropriate technical operations of Chinese medicine nursing, discuss hot issues in groups, and cultivate critical thinking and collaboration skills.

[0087] In the practical operation stage:

[0088] Students wear VR equipment and enter a simulated palliative care scene for malignant tumors to communicate with and care for patients;

[0089] Students practiced simulated palliative care on AI standardized patients. An AI educational robot gave students feedback and guidance based on preset scripts and real-time interactions, helping them improve their practical skills and ability to cope with complex situations.

[0090] Teachers organize groups to discuss real or simulated cases of palliative care for malignant tumors using traditional Chinese medicine. Students are encouraged to apply what they have learned and propose solutions.

[0091] Formative teaching assessment design:

[0092] Process evaluation: evaluate students' learning enthusiasm and knowledge mastery based on learning progress, AI teaching assistant interaction, VR scene experience, group discussion and other aspects of participation, AI teaching assistant automatic question setting and evaluation on a certain educational technology platform;

[0093] Result evaluation: organize simulation operation assessments in VR scenarios, VR software assessments, submit case reports, peer evaluations and self-evaluations, and evaluate students' learning outcomes and performance. Give them personalized feedback and guidance based on their performance to help them clarify their learning and improvement directions, and further optimize the system;

[0094] Implementation of the teaching system: With third-year nursing students in colleges and universities as the teaching objects, in the "Palliative Care" course, based on the knowledge-ability map of palliative care for malignant tumors in traditional Chinese medicine, a teaching process combining online and offline, theory and practice, reality and virtuality is carried out. Empirical research is conducted to evaluate the results of students' palliative care knowledge and ability, understand the teaching feedback of teachers and students, and adjust the corresponding content in a timely manner.

[0095] Embodiment 3

[0096] like Figure 1-5 As shown in the figure, the training teaching team developed a teaching system for TCM palliative care of malignant tumors based on AI+VR technology, tried it out among students, collected feedback, and improved and promoted the teaching system;

[0097] The present invention further specifically describes that the design technology route of the malignant tumor traditional Chinese medicine palliative care teaching system is problem analysis, problem solving and application verification;

[0098] The present invention further specifically describes that the methods used for analyzing the problem are literature research method, investigation research method and expert consultation method, the methods used for solving the problem and application verification are both empirical research methods, and the problem solving is also operated by technology development method;

[0099] From the above, we can see that the innovation of the above teaching mode, teaching content and evaluation system to further improve the system function, publicize and promote the teaching system is as follows:

[0100] Innovation in teaching mode: Apply AI+VR technology to the teaching of TCM palliative care for malignant tumors. Breaking the monotony, dullness and time and space limitations of traditional medical education, it not only improves learners' interest and enthusiasm in learning, but also enhances the interactivity and sense of participation in the teaching process;

[0101] Innovation in teaching content: covers the indications and typical cases of traditional Chinese medicine, traditional Chinese medicine nursing and emotional nursing in palliative care of malignant tumors, and incorporates ideological and political elements and the concept of humanistic care;

[0102] Innovation in the evaluation system: The intelligent evaluation system based on AI technology can record and evaluate learners' learning data in real time. This evaluation system objectively provides learners with personalized learning suggestions and improvement directions, helping teachers to continuously optimize teaching strategies and methods.

[0103] Through the configuration of the above technical solution, the present invention achieves the following technical effects by integrating AI and VR technologies:

[0104] 1. Enrich teaching resources: Combine AI and virtual reality technology to build a knowledge graph of palliative care, establish an expert system through AI deep learning, build a virtual palliative care scenario, simulate the real diagnosis and treatment process and patient care environment, and carry out immersive teaching, so that students can learn and practice in a safe and controllable environment;

[0105] 2. Reduce teaching costs: Conduct teaching research based on a certain educational technology platform. Students use the palliative care knowledge graph to improve their learning efficiency. After in-depth study of palliative care teaching materials, AI teaching assistants answer students' questions, reduce dependence on actual clinical resources and venues, reduce various costs in the teaching process, and improve teaching efficiency and resource utilization.

[0106] 3. Improve learning experience: Through the immersive experience of VR, students can experience the process and effect of TCM palliative care in person, including assessing symptoms and needs, providing TCM appropriate technology to improve discomfort symptoms, providing TCM emotional care to improve psychological problems, providing dietary therapy to improve nutritional support, providing VR treatment, color, aroma, music therapy, etc., breaking the limitations of time and space and enhancing the intuitiveness and interactivity of learning;

[0107] 4. Improve the evaluation and feedback mechanism: Use AI technology to evaluate students' learning outcomes in real time and provide immediate feedback and guidance to help students adjust their learning strategies in a timely manner and improve their learning outcomes. In-depth analysis of students' learning behaviors, progress and results can be used to accurately produce personalized learning reports.

[0108] In summary, the present invention constructs an efficient AI+VR TCM palliative care teaching system that integrates teaching, practice, and evaluation, providing learners with a convenient learning path and personalized learning experience, and improving clinical skills and literacy;

[0109] Establish a database containing diversified teaching resources such as typical cases, teaching videos, interactive simulations, etc., to provide learners with rich learning materials and practical exercise opportunities, and enhance the interest and effectiveness of learning.

[0110] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A malignant tumor traditional Chinese medicine palliative care teaching system based on AI+VR, characterized in that: include: Construct a knowledge and capability map of TCM palliative care for malignant tumors to screen and extract typical cases of TCM palliative care for malignant tumor patients. This map is based on the knowledge framework of TCM palliative care for malignant tumor patients and integrates the training objectives of palliative care courses. Design and implement a TCM palliative care teaching system for malignant tumors based on AI+VR technology, and use VR technology to build a realistic clinical environment, operation scene, and learning software to enhance the immersion and realism of learning; The training teaching team developed a TCM palliative care teaching system for malignant tumors based on AI+VR technology, tried it out among students, collected feedback, and improved and promoted the teaching system.

2. According to claim 1, the AI+VR-based traditional Chinese medicine palliative care teaching system for malignant tumors is characterized by: The course training objectives include knowledge objectives, skill objectives and emotional attitude objectives.

3. According to claim 2, the AI+VR-based traditional Chinese medicine palliative care teaching system for malignant tumors is characterized by: The knowledge goal is to master the indications of traditional Chinese medicine in palliative care of malignant tumors, the skill goal is to be proficient in appropriate traditional Chinese medicine nursing techniques, and the emotional attitude goal is to cultivate empathy and humanistic care for patients.

4. According to claim 1, a malignant tumor traditional Chinese medicine palliative care teaching system based on AI+VR is characterized by: The TCM palliative care teaching system for malignant tumors includes AI teaching assistants, AI standardized robots, offline classroom teaching, palliative care VR scenes and learning software.

5. According to claim 4, the AI+VR-based TCM palliative care teaching system for malignant tumors is characterized by: The AI ​​teaching assistant is used to track learning progress and results, and record grades.

6. According to claim 4, the AI+VR-based TCM palliative care teaching system for malignant tumors is characterized by: The AI ​​standardized robot is used to interact with learners in real time and help students construct a knowledge system.

7. According to claim 1, the AI+VR-based TCM palliative care teaching system for malignant tumors is characterized by: The design technical route of the TCM palliative care teaching system for malignant tumors is problem analysis, problem solving and application verification.

8. The AI+VR-based TCM palliative care teaching system for malignant tumors according to claim 7 is characterized by: The methods used to analyze the problem are literature research, investigation research and expert consultation.

9. The AI+VR-based TCM palliative care teaching system for malignant tumors according to claim 7 is characterized by: The methods used for problem solving and application verification are all empirical research methods.

10. The AI+VR-based TCM palliative care teaching system for malignant tumors according to claim 7 is characterized by: The problem solving is also performed using a technology development approach.

Images