[HTML][HTML] Assessing health students' attitudes and usage of ChatGPT in Jordan: validation study

M Sallam, NA Salim, M Barakat… - JMIR medical …, 2023 - mededu.jmir.org
Background: ChatGPT is a conversational large language model that has the potential to
revolutionize knowledge acquisition. However, the impact of this technology on the quality of …

A scoping review of artificial intelligence in medical education: BEME Guide No. 84

M Gordon, M Daniel, A Ajiboye, H Uraiby, NY Xu… - Medical …, 2024 - Taylor & Francis
Abstract Background Artificial Intelligence (AI) is rapidly transforming healthcare, and there
is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and …

Current and future applications of artificial intelligence in surgery: implications for clinical practice and research

MX Morris, D Fiocco, T Caneva, P Yiapanis… - Frontiers in …, 2024 - frontiersin.org
Surgeons are skilled at making complex decisions over invasive procedures that can save
lives and alleviate pain and avoid complications in patients. The knowledge to make these …

[HTML][HTML] Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence

SM Jacobs, NN Lundy, SB Issenberg… - JMIR Medical …, 2023 - mededu.jmir.org
The proliferation of generative artificial intelligence (AI) and its extensive potential for
integration into many aspects of health care signal a transformational shift within the health …

[HTML][HTML] Role of ethics in developing AI-based applications in medicine: insights from expert interviews and discussion of implications

L Weidener, M Fischer - JMIR AI, 2024 - ai.jmir.org
Background: The integration of artificial intelligence (AI)–based applications in the medical
field has increased significantly, offering potential improvements in patient care and …

[HTML][HTML] Insights on the current state and future outlook of AI in health care: Expert interview study

P Hummelsberger, TK Koch, S Rauh, J Dorn, E Lermer… - JMIR AI, 2023 - ai.jmir.org
Background: Artificial intelligence (AI) is often promoted as a potential solution for many
challenges health care systems face worldwide. However, its implementation in clinical …

[HTML][HTML] Proposing a Principle-Based Approach for Teaching AI Ethics in Medical Education

L Weidener, M Fischer - JMIR Medical Education, 2024 - mededu.jmir.org
The use of artificial intelligence (AI) in medicine, potentially leading to substantial
advancements such as improved diagnostics, has been of increasing scientific and societal …

[HTML][HTML] Curriculum Frameworks and Educational Programs in AI for Medical Students, Residents, and Practicing Physicians: Scoping Review

R Tolentino, A Baradaran, G Gore, P Pluye… - JMIR Medical …, 2024 - mededu.jmir.org
Background: The successful integration of artificial intelligence (AI) into clinical practice is
contingent upon physicians' comprehension of AI principles and its applications. Therefore …

Approaches and Models for Teaching Digital Ethics in Information Systems Courses–A Review of the Literature

M Paltiel, M Cheong, S Coghlan… - Australasian Journal of …, 2023 - journal.acs.org.au
The value and importance of teaching Digital Ethics within Information Systems and ICT
courses is widely recognized and stand-alone or integrated digital ethics units are broadly …

Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory

J Adams - Digital Society, 2024 - Springer
This paper aims to understand how science and technology experts working in the digital
mental health field interpret the ethical and social implications of its technologies, combining …