Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study
Building upon previous technical validation, this study contributes real-world effectiveness evidence by evaluating AMTES as a voluntary extracurricular supplement within an authentic, high-baseline curriculum. Unlike previous work focusing on technical feasibility or short-term controlled trials, voluntary extracurricular AMTES use was associated with modest yet meaningful improvements in summative history-taking performance. Exploratory analyses indicated that the added value of more intensive engagement may be moderated by baseline academic ability. These findings support the scalability of artificial intelligence-enabled supplementary training and inform precision-oriented instructional design.
Authors
- Xian Lu (ORCID: https://orcid.org/0000-0002-9537-3007)
- Oudong Xia
- Yiying Zhu
- Chujun Shi (ORCID: https://orcid.org/0009-0002-0126-9311)
- Yang Liu (ORCID: https://orcid.org/0009-0005-3818-2967)
- Liping Wu
- Weishan Zhang
- Minghui Yue
Institutions
- Shantou University (CN)
- Shantou University Medical College (CN)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2026-02-24
- DOI
- https://doi.org/10.2196/89367
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00