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A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study

Building on our previous work showing that GPT-3.5 can provide simulated patient experiences [13], we evaluated the extension of our chatbot with an integrated feedback system while using the latest LLM model, GPT-4. In particular, we aimed to investigate whether GPT-4 can provide structured feedback on medical students’ performance during history-taking dialogs with a simulated patient, with special focus on such feedback’s realism and educational use.

Friederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, Teresa Festl-Wietek, Martin Holderried, Carsten Eickhoff, Moritz Mahling

JMIR Med Educ 2024;10:e59213

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

A Generative Pretrained Transformer (GPT)–Powered Chatbot as a Simulated Patient to Practice History Taking: Prospective, Mixed Methods Study

However, these virtual simulated patients did not reach human performance in terms of language expression and dynamics [31]. Although chatbots to practice history taking have been developed based on pre-LLM technology [32], it is unknown whether and how LLMs, such as GPT, can be used as a simulated patient to acquire communication skills. To investigate the previously uncharted potential of GPT as a simulated patient, we conducted a mixed methods study.

Friederike Holderried, Christian Stegemann–Philipps, Lea Herschbach, Julia-Astrid Moldt, Andrew Nevins, Jan Griewatz, Martin Holderried, Anne Herrmann-Werner, Teresa Festl-Wietek, Moritz Mahling

JMIR Med Educ 2024;10:e53961

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

The Impacts of Computer-Aided Detection of Colorectal Polyps on Subsequent Colonoscopy Surveillance Intervals: Simulation Study

Based on the baseline colorectal polyp and adenoma distribution of our patients, we simulated the projected increase in all colonic lesions detected with the application of CADe and the corresponding changes in surveillance intervals, according to the US Multi-Society Task Force on Colorectal Cancer (USMSTF) and the European Society of Gastrointestinal Endoscopy (ESGE) guidelines [52,53].

Ka Luen Thomas Lui, Sze Hang Kevin Liu, Kathy Leung, Joseph T Wu, Ann G Zauber, Wai Keung Leung

J Med Internet Res 2023;25:e42665