Simulation-based medical education is becoming increasingly common. In this paper, the status and goal of SBME development is analyzed after a brief introduction of SBME. Secondly, the essentiality and possibility of bringing SBME to a situated paradigm are clarified, because there are rich implications for situated cognition as the theory foundation of SBME. As a main discussion point, eight practical situated designing principles for SBME in theoretical and practical contexts are then expounded. Finally, a specific attitude toward the relationship between theory and practice for the SBME teachers is also elucidated.
Objective To explore the application effect of the four-dimensional teaching library model in the training of neuroinfection subspecialty continuing physicians, and compare it with traditional rotational training. Methods Continuing physicians who received training in the Department of Neurology of Xuanwu Hospital, Capital Medical University between March 2021 and February 2023 were selected. The continuing physicians who received traditional rotational training between March 2021 and February 2022 would serve as the control group, and the continuing physicians who received four-dimensional teaching library model training between March 2022 and February 2023 would serve as the experimental group. The Mini-CEX scale was used to evaluate the clinical comprehensive abilities of two groups of continuing physicians. At the same time, self-made questionnaires were used to evaluate the evaluation of two groups of continuing physicians on different teaching modes. Results A total of 55 continuing physicians were included. Among them, there were 27 people in the control group and 28 people in the experimental group. There was no statistically significant difference in the comparison of general information between the two groups (P＞0.05). At the time of graduation, all items on the Mini-CEX scale in the experimental group were higher than those in the control group (P<0.05). The survey questionnaire results showed that the experimental group scored higher than the control group in terms of improving learning interest, improving self-learning ability, improving clinical thinking, improving analysis and problem-solving ability, improving doctor-patient communication ability, and increasing teamwork (P<0.05). Conclusion The application effect of the four-dimensional teaching library model in the training of neuroinfection subspecialty continuing physicians is better than that of traditional rotational training, which can significantly improve the clinical comprehensive ability of continuing physicians and is worth promoting.
ObjectiveTo investigate the situation of further medical education in students in our hospital from 2010 to 2014, and provide insights into how to elevate the teaching and management quality of continuing medical education (CME).
MethodWe collected and statistically analyzed the electronic information of students in our hospital between January 2010 and 2014 December, including gender, ethnicity, age, education, and job title.
ResultsThere were totally 7 478 students who received further education in the five years, and most of them were between 26 and 35 years old with junior titles and bachelor's degree. The number of students from minorities, county hospitals, medical school affiliated hospitals, provincial hospitals and hospitals from other provinces increased year by year. But there were still some problems in the present situation of further medical education in our hospital, including: lacking detailed publicity work, complicated student sources, different working capabilities of the students, and difficult regulation of uniform education planning.
ConclusionsTo solve the problems, we need to properly balance the number of students and the quality of the training, make scientific enrollment plan, strengthen the CME publicity work, improve the quality of students, draw up differentiation cultivation plan, strictly implement examination and evaluation, and constantly improve the information feedback system.
Objective To evaluate medical students’ perceptions and attitudes toward artificial intelligence (AI)-assisted diagnosis of renal cell carcinoma (RCC), and to analyze their educational needs regarding AI in pathological diagnosis. Methods A questionnaire survey (including closed and open-ended questions) was conducted to assess medical students’ perceptions, attitudes, and educational needs concerning AI-assisted RCC diagnosis. Participants included medical students from different specialties and standardized training residents. The questionnaire covered demographic information, perceptions and attitudes toward AI, and AI-related educational needs. Results A total of 249 respondents completed the survey. The majority were standardized training residents, mostly aged 23-26 years, and 40.96% had practical experience in pathological diagnosis of RCC. The median scores for most closed-ended questions were 4. Respondents generally considered “efficiency” and “improved accuracy” as the most prominent advantages of AI, with timeliness, automated diagnosis, reduction of human error, and precise diagnosis being the most emphasized aspects. Analysis of AI-related educational needs revealed high-frequency keywords such as “expanding sample size” “balanced responsibility allocation” and “enhancing collaboration skills.” Conclusion Medical students hold a positive attitude toward AI and its application in RCC diagnosis, but there remains a lack of formal AI-related education.
Objective To investigate the role of participation in academic student associations in enhancing the scientific innovation capability and comprehensive quality of undergraduate medical students. MethodsThis study was conducted from November to December 2022. Undergraduate medical students majoring in clinical medicine (five-year program) in grade 2017 and 2018 at West China School of Medicine of Sichuan University were included in the study. These students were divided into two groups based on their participation in a five-star academic student associations of West China School of Medicine: the exposure group and the control group. The study compared the average scores of compulsory courses during the first four years of undergraduate study, competency multi-station assessment scores, comprehensive quality assessment scores, and scientific innovation capability between the two groups. Subgroup and stratification analyses were also conducted based on grade level and average scores of compulsory courses. Results A total of 433 students were surveyed. Among them, there were 348 students in the control group and 85 students in the exposure group. The average scores of compulsory courses, competency multi-station assessment scores, comprehensive quality assessment scores, and scientific innovation capability of students in the exposure group were higher than those of students in the control group (P＜0.05). Similar results were observed in subgroup analysis by grade level. The sub group analysis of the average scores of compulsory courses showed that in tertileⅠ(≥ 85 and ≤ 100 points) and tertileⅡ (≥ 80 and<85 points), the competency multi-station assessment scores, comprehensive quality assessment scores, and scientific innovation capability of the exposure group were higher than those of the control group (P<0.05). However, in tertile Ⅲ (>0 and<80 points), the exposure group showed better scores in competency multi-station assessment scores and scientific innovation capability than the control group (P<0.05). Conclusion Participation in academic student associations can effectively improve the scientific innovation capability and comprehensive quality of students with medium and above grades.
Large language models (LLMs), a key component of artificial intelligence (AI), represent a significant breakthrough in natural language processing. As the capabilities of LLMs continue to evolve, their potential applications and future implications in clinical medical education warrant considerable attention. This study systematically reviews the development of LLMs, explores their innovative applications within the context of current challenges in clinical medical education, and critically assesses both the advantages and limitations of their implementation. The objective is to provide a comprehensive reference for the continued integration of AI-driven LLMs into clinical medical education.
Objective To investigate the effectiveness of applying a voice-interactive artificial intelligence (AI) agent in the teaching of oral and maxillofacial surgery. Methods Fourth-year undergraduate students enrolled at West China School of Stomatology, Sichuan University, from September 2024 to June 2025 were included. Students were randomly assigned by class into two groups: an AI-assisted teaching group (experimental group) that utilized a voice-interactive AI agent, and a traditional face-to-face teaching group (control group). ResultsA total of 227 students were enrolled, with 122 in the experimental group and 105 in the control group. The average final exam score of the experimental group was higher than that of the control group [(88.34±5.75) vs. (84.30±8.10) points, P<0.001]. The course attendance rate was similar between the experimental and control groups [97.30% (2849/2928) vs. 97.34% (2453/2520)]. However, participation in thought-provoking questions was higher in the experimental group than in the control group [92.08% (2696/2928) vs. 83.17% (2096/2520)]. All evaluations of course satisfaction in the experimental group were significantly higher than those in the control group (P<0.05). Conclusion Teaching of oral and maxillofacial surgery driven by a voice-interactive AI agent demonstrated markedly better outcomes compared with the traditional instructional model.
Driven by advances in intelligent technology, artificial intelligence (AI) is emerging as the cornerstone of neurosurgical education. By providing personalized learning experiences and enhancing learning outcomes, AI has enriched the avenues and depth of knowledge acquisition for medical students. The integration of AI not only helps medical students master the basic theories and practical skills of neurosurgery more thoroughly, but also lays a solid foundation for them to provide high-quality and efficient medical services in the future. At the same time, the ability of educators to use intelligent technologies further enhances the interactivity and effectiveness of teaching. In order to further ensure the application of AI in neurosurgery teaching, this article explores the strategic integration of AI in neurosurgical education, emphasizing its critical importance in ensuring that teaching methods evolve with the times.
Rare diseases are a collective term for a category of diseases with extremely low incidence or prevalence rates. They are characterized by a variety of diseases, difficult diagnosis, complex conditions, etc. Only about 5% of rare diseases have treatment drugs. They impose a heavy burden on society and the families of rare diseases patients, and are a major global challenge. Rare diseases medical talents are an important component of the development of the rare diseases industry. After years of practical exploration, the construction of rare diseases medical talent training systems at home and abroad has gradually achieved results. This article analyzes the current situation of medical talent cultivation in the field of rare diseases, and proposes thoughts and suggestions for the cultivation of rare diseases medical talents in China, providing reference for the construction of the rare patient talent system.
Objective To optimize the medical humanities training course in postgraduate medical education. Methods From 2018 to 2020, based on instructional system design (ISD) model of the “analyze-design-exploit-implement-assess” 5 steps, the current situation and existing problems were analyzed through literature review, and the postgraduate trainees’ cognitions and demands for the training course were surveyed. According to the content of the questionnaire, the curriculum was designed and implemented, and the curriculum satisfaction survey was conducted. Results A total of 532 postgraduate trainees participated in the cognitions and demands questionnaire survey, and the postgraduate trainees had high demands for humanistic training courses (88.53%). A total of 827 postgraduate trainees participated in the curriculum satisfaction survey. The trainees’ satisfaction to the training courses was more than 90%. Conclusion The medical humanities training courses based on ISD model get good results, which can provide a useful reference for the curriculum design of medical humanities education in each stage.
