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Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study

Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study

The main barriers are validation, usability, utility, and ethics [24]. More global research is still needed to generate more data on the use of AI in medicine. Only after extensive proof of superiority will its use be legalized [25]. Utility refers to the functionality of a tool being studied and improved through research and its use in various functions, while usability refers to the ability of health care professionals to use the tool to achieve satisfactory results [25].

Mateus Rodrigues Alessi, Heitor Augusto Gomes, Gabriel Oliveira, Matheus Lopes de Castro, Fabiano Grenteski, Leticia Miyashiro, Camila do Valle, Leticia Tozzini Tavares da Silva, Cristina Okamoto

JMIR AI 2025;4:e66552

Examining Practices Related to Ethical Aspects in eHealth Evaluation Research: Protocol for a Scoping Review

Examining Practices Related to Ethical Aspects in eHealth Evaluation Research: Protocol for a Scoping Review

The complexity of ethics, lack of targeted guidance for interdisciplinary teams, and absence of comprehensive reviews of evaluation research practices provide the rationale for this scoping review. These issues are explored in detail in the following sections and further elaborated in the proposed review, using evaluations of RPM in cancer and cardiovascular care as practical case studies.

Linda Wienands, Sabine Valenta, Lynn Leppla, Sabina De Geest, László Kovács, Alexandra Teynor, Julia Krumme

JMIR Res Protoc 2025;14:e60849

Prognostic Disclosure in Metastatic Breast Cancer: Protocol for a Scoping Review

Prognostic Disclosure in Metastatic Breast Cancer: Protocol for a Scoping Review

Reference 10: Intended and unintended consequences: Ethics, communication, and prognostic disclosureethics

Linda Battistuzzi, Irene Giannubilo, Claudia Bighin

JMIR Res Protoc 2025;14:e57256

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study

This human participant research was approved by the appropriate University College Dublin (UCD) research ethics committee (UCD School of Information and Communication Studies Taught Masters Research Ethics Committee).

Kayley Moylan, Kevin Doherty

J Med Internet Res 2025;27:e67114

Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project

Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project

This paper provides a detailed overview of the ethics of data-driven DSTs because of the link to a particular project, as well as reference to broader ethical aspects (eg, the ethics of interdisciplinary collaboration or psychological safety in research teams) that are often neglected. We find that this work has relevance beyond the 4 D PICTURE project as it is the first review-type paper explicitly grounded in the Embedded Ethics approach.

Marieke Bak, Laura Hartman, Charlotte Graafland, Ida J Korfage, Alena Buyx, Maartje Schermer, 4D PICTURE Consortium

JMIR Cancer 2025;11:e65566

Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study

Factors Influencing Information Distortion in Electronic Nursing Records: Qualitative Study

Examples of information ethics issues include information disclosure, distortion, alienation, and injustice [3]. Among these, information distortion undermines data accuracy, posing immediate health risks and directly threatening patient safety, which demands significant attention [3].

Jianan Wang, Yihong Xu, Zhichao Yang, Jie Zhang, Xiaoxiao Zhang, Wen Li, Yushu Sun, Hongying Pan

J Med Internet Res 2025;27:e66959

Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities

Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities

In this paper we explore how these barriers perpetuate health inequities, examine the ethical dimensions of data sharing, and argue for a “share by default” model that aligns with public health ethics, respects Tribal sovereignty, and ensures the provision of timely, actionable information for American Indian and Alaska Native communities.

Cason D Schmit, Meghan Curry O’Connell, Sarah Shewbrooks, Charles Abourezk, Fallon J Cochlin, Megan Doerr, Hye-Chung Kum

J Med Internet Res 2025;27:e70983

Ethical Use of Social Media and Sharing of Patient Information by Medical Students at a University Hospital in Saudi Arabia: Cross-Sectional Survey

Ethical Use of Social Media and Sharing of Patient Information by Medical Students at a University Hospital in Saudi Arabia: Cross-Sectional Survey

We obtained institutional review board approval to conduct the study from KAU’s Ethics Committee (reference #414-‐22). The online survey began with an informed consent statement that explained the purpose of the questionnaire and assured participants that all information would be kept confidential with no names or contact details recorded in the survey. Participation was entirely voluntary, with no reward for completing the survey and no penalty for choosing not to participate.

Sara Farsi, Alaa Sabbahi, Deyala Sait, Raghad Kabli, Ghaliah Abduljabar

JMIR Med Educ 2025;11:e57812