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Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models

Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models

We appreciate the thoughtful critique of our manuscript “Perceptions and earliest experiences of medical students and faculty with Chat GPT in medical education: qualitative study” [1] by Zhao and Zhang [2]. Concerns over the generation of hallucinated citations by large language models (LLMs), such as Open AI’s Chat GPT, Google’s Gemini, and Hangzhou’s Deep Seek, warrant exploring advanced and novel methodologies to ensure citation accuracy and overall output integrity [3].

Mohamad-Hani Temsah, Ayman Al-Eyadhy, Amr Jamal, Khalid Alhasan, Khalid H Malki

JMIR Med Educ 2025;11:e73698

Citation Accuracy Challenges Posed by Large Language Models

Citation Accuracy Challenges Posed by Large Language Models

In the recent study titled “Perceptions and earliest experiences of medical students and faculty with Chat GPT in medical education: qualitative study,” the section addressing concerns about Chat GPT deserves a deeper discussion [1]. There are several reasons for the citation issues in LLMs, which can be analyzed as follows. First, most LLMs cannot access paid subscription databases and therefore solely rely on open-access resources [2].

Manlin Zhang, Tianyu Zhao

JMIR Med Educ 2025;11:e72998

Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study

Perceptions and Earliest Experiences of Medical Students and Faculty With ChatGPT in Medical Education: Qualitative Study

Therefore, it is crucial to explore the medical faculty staff and students’ knowledge, perceived benefits, concerns, and limitations of Chat GPT application in medical education. This qualitative study seeks to explore the perception on the use of newly introduced AI chatbots, like Chat GPT3.5, in medical education from the perspective of faculty and medical students.

Noura Abouammoh, Khalid Alhasan, Fadi Aljamaan, Rupesh Raina, Khalid H Malki, Ibraheem Altamimi, Ruaim Muaygil, Hayfaa Wahabi, Amr Jamal, Ali Alhaboob, Rasha Assad Assiri, Jaffar A Al-Tawfiq, Ayman Al-Eyadhy, Mona Soliman, Mohamad-Hani Temsah

JMIR Med Educ 2025;11:e63400

Generative Artificial Intelligence in Medical Education—Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey

Generative Artificial Intelligence in Medical Education—Policies and Training at US Osteopathic Medical Schools: Descriptive Cross-Sectional Survey

The dean’s survey included questions about current and planned Gen AI policies and training for students, faculty, and administrators, as well as questions about the content of existing policies and training (Multimedia Appendix 1). Recognizing that students are unlikely to have knowledge of policy, curriculum planning, or those related to faculty or administrators, the SGA president’s survey exclusively encompassed questions about current student policies and training (Multimedia Appendix 2).

Tsunagu Ichikawa, Elizabeth Olsen, Arathi Vinod, Noah Glenn, Karim Hanna, Gregg C Lund, Stacey Pierce-Talsma

JMIR Med Educ 2025;11:e58766

Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: “We Built the Airplane While Flying It”

Development of the Big Ten Academic Alliance Collaborative for Women in Medicine and Biomedical Science: “We Built the Airplane While Flying It”

Women-identifying and women+ gender faculty (women+ is inclusive of different identities pertaining to gender, hereto described as women+ faculty) in medicine and biomedical sciences face numerous barriers to career advancement. These barriers include fewer invitations to keynote speaking engagements, reduced academic promotion rates, decreased leadership opportunities, and disparities in research funding and other research metrics [1-4].

Maya S Iyer, Aubrey Moe, Susan Massick, Jessica Davis, Megan Ballinger, Kristy Townsend

JMIR Form Res 2025;9:e65561

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

Creation of an Automated and Comprehensive Resident Progress System for Residents and to Save Hours of Faculty Time: Mixed Methods Study

We know that the assessment of residents by faculty has a long-standing tradition [5], but finding a way to gather this information robustly and present it is a challenge. Building upon both the work for dashboard management and work around gathering high-quality faculty feedback by matching milestones with evaluation questions [6], we have developed a novel and fully automated system for residency progress management.

Rimma Perotte, Alyssa Berns, Lana Shaker, Chayapol Ophaswongse, Joseph Underwood, Christina Hajicharalambous

JMIR Form Res 2024;8:e53314

Integrating Health and Disability Data Into Academic Information Systems: Workflow Optimization Study

Integrating Health and Disability Data Into Academic Information Systems: Workflow Optimization Study

Furthermore, these gaps underline the necessity for better adaptive technology access off campus and increased faculty training in disability accommodation practices. Understanding the potential benefits and challenges associated with integrating health information into university information systems is essential for enhancing the overall support and well-being of students.

Abdulrahman Jabour

JMIR Hum Factors 2024;11:e54859

Anesthesiologists With Advanced Degrees in Education: Qualitative Study of a Changing Paradigm

Anesthesiologists With Advanced Degrees in Education: Qualitative Study of a Changing Paradigm

Moreover, 4 (57%) participants stated that their intrinsic motivation to pursue HPE training increased after becoming faculty (as gaps in their knowledge of education theory became clearer) compared to their motivation prior to becoming faculty. The interviewees highlighted 3 experiential components of the HPE programs, which were structure, coursework, and research.

Anuj Aggarwal, Olivia Hess, Justin L Lockman, Lauren Smith, Mitchell Stevens, Janine Bruce, Thomas Caruso

JMIR Med Educ 2022;8(2):e38050

Email Use Reconsidered in Health Professions Education: Viewpoint

Email Use Reconsidered in Health Professions Education: Viewpoint

As such, email has become ubiquitous in higher education and has greatly improved the networking and collaborating capabilities of faculty, staff, and students [13,14]. Email is the means of communication preferred by students and faculty owing to its affordability, accessibility, and ability to send accompanying files [15]. Although the benefits of email include simplicity and speediness of communication, its use can involve unwanted outcomes such as uncivil or inconsiderate behavior.

Jennie C De Gagne, Yesol Yang, Sharron Rushton, Paula D Koppel, Katherine Hall

JMIR Med Educ 2020;6(1):e19300