@Article{info:doi/10.2196/72034,
author="Mehta, Seysha
and Haddad, N. Eliot
and Burke, Bhavsar Indira
and Majors, K. Alana
and Maeda, Rie
and Burke, M. Sean
and Deshpande, Abhishek
and Nowacki, S. Amy
and Lindenmeyer, C. Christina
and Mehta, Neil",
title="Assessment of Large Language Model Performance on Medical School Essay-Style Concept Appraisal Questions: Exploratory Study",
journal="JMIR Med Educ",
year="2025",
month="Jun",
day="16",
volume="11",
pages="e72034",
keywords="essay-type questions",
keywords="large language models",
keywords="generative AI",
keywords="Microsoft Copilot",
keywords="artificial intelligence",
doi="10.2196/72034",
url="https://mededu.jmir.org/2025/1/e72034"
}


@Article{info:doi/10.2196/63129,
author="Miyazaki, Yuki
and Hata, Masahiro
and Omori, Hisaki
and Hirashima, Atsuya
and Nakagawa, Yuta
and Eto, Mitsuhiro
and Takahashi, Shun
and Ikeda, Manabu",
title="Performance of ChatGPT-4o on the Japanese Medical Licensing Examination: Evalution of Accuracy in Text-Only and Image-Based Questions",
journal="JMIR Med Educ",
year="2024",
month="Dec",
day="24",
volume="10",
pages="e63129",
keywords="medical education",
keywords="artificial intelligence",
keywords="clinical decision-making",
keywords="GPT-4o",
keywords="medical licensing examination",
keywords="Japan",
keywords="images",
keywords="accuracy",
keywords="AI technology",
keywords="application",
keywords="decision-making",
keywords="image-based",
keywords="reliability",
keywords="ChatGPT",
doi="10.2196/63129",
url="https://mededu.jmir.org/2024/1/e63129"
}


@Article{info:doi/10.2196/51435,
author="Dzuali, Fiatsogbe
and Seiger, Kira
and Novoa, Roberto
and Aleshin, Maria
and Teng, Joyce
and Lester, Jenna
and Daneshjou, Roxana",
title="ChatGPT May Improve Access to Language-Concordant Care for Patients With Non--English Language Preferences",
journal="JMIR Med Educ",
year="2024",
month="Dec",
day="10",
volume="10",
pages="e51435",
keywords="ChatGPT",
keywords="artificial intelligence",
keywords="language",
keywords="translation",
keywords="health care disparity",
keywords="natural language model",
keywords="survey",
keywords="patient education",
keywords="preference",
keywords="human language",
keywords="language-concordant care",
doi="10.2196/51435",
url="https://mededu.jmir.org/2024/1/e51435"
}


@Article{info:doi/10.2196/53193,
author="Fukui, Sho
and Shimizu, Taro
and Nishizaki, Yuji
and Shikino, Kiyoshi
and Yamamoto, Yu
and Kobayashi, Hiroyuki
and Tokuda, Yasuharu",
title="The Utility of Wearable Cameras in Developing Examination Questions and Answers on Physical Examinations: Preliminary Study",
journal="JMIR Med Educ",
year="2024",
month="Jul",
day="19",
volume="10",
pages="e53193",
keywords="medical education",
keywords="medical technology",
keywords="wearable device",
keywords="wearable camera",
keywords="medical examination",
keywords="exam",
keywords="examination",
keywords="exams",
keywords="examinations",
keywords="physical",
keywords="resident physicians",
keywords="wearable",
keywords="wearables",
keywords="camera",
keywords="cameras",
keywords="video",
keywords="videos",
keywords="innovation",
keywords="innovations",
keywords="innovative",
keywords="recording",
keywords="recordings",
keywords="survey",
keywords="surveys",
doi="10.2196/53193",
url="https://mededu.jmir.org/2024/1/e53193"
}


@Article{info:doi/10.2196/54283,
author="Takagi, Soshi
and Koda, Masahide
and Watari, Takashi",
title="The Performance of ChatGPT-4V in Interpreting Images and Tables in the Japanese Medical Licensing Exam",
journal="JMIR Med Educ",
year="2024",
month="May",
day="23",
volume="10",
pages="e54283",
keywords="ChatGPT",
keywords="medical licensing examination",
keywords="generative artificial intelligence",
keywords="medical education",
keywords="large language model",
keywords="images",
keywords="tables",
keywords="artificial intelligence",
keywords="AI",
keywords="Japanese",
keywords="reliability",
keywords="medical application",
keywords="medical applications",
keywords="diagnostic",
keywords="diagnostics",
keywords="online data",
keywords="web-based data",
doi="10.2196/54283",
url="https://mededu.jmir.org/2024/1/e54283"
}


@Article{info:doi/10.2196/56568,
author="dos Santos, Albano Luiz Ricardo
and de Oliveira, Maicon Alan
and dos Santos, Costa Luana Michelly Aparecida
and Aguilar, Jos{\'e} Guilherme
and Costa, Lemos Wilbert Dener
and Donato, Barros Dantony de Castro
and Bollela, Roberto Valdes",
title="Collaborative Development of an Electronic Portfolio to Support the Assessment and Development of Medical Undergraduates",
journal="JMIR Med Educ",
year="2024",
month="Apr",
day="4",
volume="10",
pages="e56568",
keywords="e-portfolio",
keywords="education",
keywords="health education",
keywords="learning",
keywords="medical students",
keywords="medical school curriculum",
keywords="medical education",
keywords="student support",
keywords="software",
doi="10.2196/56568",
url="https://mededu.jmir.org/2024/1/e56568"
}


@Article{info:doi/10.2196/52155,
author="Kumar, Ajay
and Burr, Pierce
and Young, Michael Tim",
title="Using AI Text-to-Image Generation to Create Novel Illustrations for Medical Education: Current Limitations as Illustrated by Hypothyroidism and Horner Syndrome",
journal="JMIR Med Educ",
year="2024",
month="Feb",
day="22",
volume="10",
pages="e52155",
keywords="artificial intelligence",
keywords="AI",
keywords="medical illustration",
keywords="medical images",
keywords="medical education",
keywords="image",
keywords="images",
keywords="illustration",
keywords="illustrations",
keywords="photo",
keywords="photos",
keywords="photographs",
keywords="face",
keywords="facial",
keywords="paralysis",
keywords="photograph",
keywords="photography",
keywords="Horner's syndrome",
keywords="Horner syndrome",
keywords="Bernard syndrome",
keywords="Bernard's syndrome",
keywords="miosis",
keywords="oculosympathetic",
keywords="ptosis",
keywords="ophthalmoplegia",
keywords="nervous system",
keywords="autonomic",
keywords="eye",
keywords="eyes",
keywords="pupil",
keywords="pupils",
keywords="neurologic",
keywords="neurological",
doi="10.2196/52155",
url="https://mededu.jmir.org/2024/1/e52155",
url="http://www.ncbi.nlm.nih.gov/pubmed/38386400"
}


@Article{info:doi/10.2196/48780,
author="Pendergrast, Tricia
and Chalmers, Zachary",
title="Anki Tagger: A Generative AI Tool for Aligning Third-Party Resources to Preclinical Curriculum",
journal="JMIR Med Educ",
year="2023",
month="Sep",
day="20",
volume="9",
pages="e48780",
keywords="ChatGPT",
keywords="undergraduate medical education",
keywords="large language models",
keywords="Anki",
keywords="flashcards",
keywords="artificial intelligence",
keywords="AI",
doi="10.2196/48780",
url="https://mededu.jmir.org/2023/1/e48780",
url="http://www.ncbi.nlm.nih.gov/pubmed/37728965"
}