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The following open-ended questions were included: “What concerns do you have when using Chat GPT?” “In which areas do you see potential in using Chat GPT?” “For which subjects or areas do you primarily use Chat GPT and why?” The survey was pretested for usability and technical functionality by 3 medical students who were not part of the final sample. Their feedback was used to refine the wording, layout, and navigation of the questionnaire before launching the final version via So Sci Survey.
JMIR Form Res 2025;9:e81484
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Tools such as Chat GPT, developed by Open AI, possess advanced conversational capabilities and broad applicability [1], with an increasing number of applications in the medical field. From the perspective of conversational capabilities, generative AI–based chatbots can provide rehabilitation guidance and mental health support to patients and assist health care professionals in patient management [2]. Generative AI is versatile enough to have passed the Japanese National Medical Licensing Examination [3].
JMIR Form Res 2025;9:e80752
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Another study comparing automatic scoring systems (Chat GPT-3.5 and Chat GPT-4) with manual scoring for article quality assessment found no significant difference between GPT-4-based scoring and human grading. This demonstrates the considerable potential of GAI to enhance the quality evaluation of articles [28].
JMIR Med Educ 2025;11:e71125
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AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study
Research using Chat GPT, an LLM, has shown that it can apply codes to interview texts using a codebook, suggesting its potential for extracting competency-based evaluations from student descriptions [13]. However, owing to a lack of such research, aggregation accuracy remains uncertain. Determining the extent to which LLMs can aggregate items related to curriculum goals from learner descriptions may open up opportunities to leverage LLMs to monitor learner progress and enhance education quality.
JMIR Med Educ 2025;11:e68697
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I use the latest version of Chat GPT (GPT-4). I have been using it for a while for my manuscripts, both in English and Portuguese, and it does an excellent job.
As I am applying for a full article processing charge waiver and cannot afford professional copyediting services, I have leveraged advanced language models to assist with improving the manuscript, and it would be possible to do this again.
JMIRx Med 2025;6:e83417
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Chat GPT has been extensively explored in bioinformatics since its release, as have LLMs in general. Even so, in bioinformatics, the traditional paradigm is to build a model with no concern as to how to integrate those models into something more user-friendly, such as a chatbot.
The research in this field generally tends to be an exploration of the LLM as a language model only [7-9]. Studies tend to focus on what is called a chat-oriented conversational AI [4].
JMIRx Med 2025;6:e56090
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ChatGPT-Based Chatbot for Help Quitting Smoking via Text Messaging: An Interventional Study
LLM chatbots such as Open AI’s Chat GPT, Google’s Gemini, and Meta’s Llama allow for open-text queries and provide dynamic, natural language responses that are sensitive to context, nuance, and history and resemble a human conversation [14-16]. In 2025, a total of 34% of American adults and 58% of adults under 30 years of age in the United States, reported that they had used Chat GPT, with use rising from the previous year [17].
JMIR Form Res 2025;9:e79402
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The top-10 accuracy (score range 0‐1) results indicated that Chat GPT-o1-preview performed best (0.703), successfully including the correct diagnosis in 70.3% of cases when generating 10 differential diagnoses. It was followed by Deep Seek-R1, Gemini Experimental 1206, Claude 3.5 Sonnet, Chat GPT-4o, Qwen-Max-2025-01-25, and Doubao-1.5-Pro-256k.
J Med Internet Res 2025;27:e77334
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