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Background Under the background of new medical science, the deep integration of information technology and medical education is encouraged to train first-class medical talents to serve the construction of healthy China.Currently, empathy training in doctor-patient communication mainly consists of simulated communication and group discussion, with less reliance on artificial intelligence technology for learning. Objective To develop a system for teaching and evaluating doctor-patient communication empathy language. This system will be used in course teaching to pave the way for future doctor-patient communication empathy teaching methods. Carry out teaching applications to enhance the communication and empathy language expression skills of medical students and doctors, and gather feedback to optimize and improve the system. Methods Between September 2021 and February 2022, the research group focus on utilizing iFlytek speech recognition technology and the empathy semantic recognition algorithm. A system called the "Doctor-patient Communication Virtual Simulation Teaching and Evaluation System of empathic language" was developed using 10 typical cases of doctor-patient communication, demonstrations of empathic language, a semantic database of empathic language, empathic language skills, and an overall scoring standard.A total of 950 students from Nanjing Medical University, including 515 undergraduates, 102 medical doctoral students, and 333 clinicians participating in doctor-patient communication courses or training, were selected as the research subjects from March to May 2022. Based on this system, the Doctor-patient Communication Skills Course (2 class hours) teaching experiment was conducted at Nanjing Medical University. A self-designed questionnaire was used to gather information on the subjects' understanding of empathetic language connotations, their improved empathetic language skills, their perception of system ease of use, and their perception of how the system integrates into the rationality of teaching. NVivo software was used to analyze the subjects' feedback, comments, and suggestions. Results Following the implementation of the system, there were statistically significant differences in the mastery of empathic language connotation, the degree of enhancement of empathic language ability, the degree of convenience of the system, and the degree of integration of the system into teaching rationality among undergraduate students, clinicians, and medical doctoral students (P<0.05). 76.1% (723/950) of the participants evaluated that they had "fully mastered" or "highly mastered" the connotation of empathic language. 93.8% (891/950) of the study subjects indicated that the system could "significantly enhance" or "somewhat enhance" the empathic language ability, and 89.5% (850/950) of the study subjects rated the convenience of the system as "very convenient" or "relatively convenient". 95.1% (903/950) of the study subjects rated the degree of cognition of the rationality of integrating the system into teaching as "very reasonable" or "relatively reasonable". The top five words mentioned in the feedback and suggestions are communication, pronunciation, teaching, program, and standard. Conclusion This system can help improve medical student and doctors'ability to empathize in doctor-patient communication by learning from individual cases and applying those lessons more broadly. Additionally, the use of an autonomous teaching evaluation system frees up the constraints of time and space in teacher-student interactions. The system's standardized teaching method has received positive and rational feedback from participants, indicating its potential for a wide range of applications. However, the system is still in the early stages of exploration and requires further refinement.