A sco** 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 resha** teaching, learning, and …

[HTML][HTML] Advances in necessary condition analysis

J Dul - Downloaded on Jan, 2021 - bookdown.org
NCA is an emerging research method that is rapidly entering a variety of research fields in
the social, medical and technical sciences. The publication in 2016 of NCA's core paper …

Predictors of higher education students' behavioural intention and usage of ChatGPT: the moderating roles of age, gender and experience

F Arthur, I Salifu, S Abam Nortey - Interactive Learning …, 2024 - Taylor & Francis
The adoption and usage of ChatGPT among students are influenced by various factors,
including individual characteristics such as age, gender, and experience with technology …

[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 …

Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study

J Pawelczyk, M Kraus, L Eckl, S Nehrer… - Archives of Orthopaedic …, 2024 - Springer
Introduction The purpose of this study was to evaluate the perspectives of aspiring
orthopaedic surgeons on artificial intelligence (AI), analysing how gender, AI knowledge …

Latent profiles of AI learning conditions among university students: Implications for educational intentions

II Ishmuradova, AA Chistyakov, TA Brodskaya… - Contemporary …, 2025 - cedtech.net
This investigation aimed to ascertain latent profiles of university students predicated on
fundamental factors influencing their intentions to acquire knowledge in artificial intelligence …

[HTML][HTML] The Willingness of Doctors to Adopt Artificial Intelligence–Driven Clinical Decision Support Systems at Different Hospitals in China: Fuzzy Set Qualitative …

Z Yu, N Hu, Q Zhao, X Hu, C Jia, C Zhang, B Liu… - Journal of Medical …, 2025 - jmir.org
Background Artificial intelligence–driven clinical decision support systems (AI-CDSSs) are
pivotal tools for doctors to improve diagnostic and treatment processes, as well as improve …

[HTML][HTML] Patients' Expectations of Doctors' Clinical Competencies in the Digital Health Care Era: Qualitative Semistructured Interview Study Among Patients

H Zainal, XX Hui, J Thumboo, W Fong… - JMIR Human …, 2024 - humanfactors.jmir.org
Background Digital technologies have impacted health care delivery globally, and are
increasingly being deployed in clinical practice. However, there is limited research on …

Artificial Intelligence and ChatGPT in Medical Education: A Cross-Sectional Questionnaire on students' Competence

L Maaß, C Grab-Kroll, J Koerner, W Öchsner… - Journal of …, 2025 - Taylor & Francis
Artificial intelligence is rapidly transforming the field of health science and medical
education, but less is known about the students´ competencies related to knowledge, skills …

[HTML][HTML] Understanding Providers' Attitude Toward AI in India's Informal Health Care Sector: Survey Study

S Kumar, S Rayal, R Bommaraju… - JMIR Formative …, 2025 - formative.jmir.org
Background: Tuberculosis (TB) is a major global health concern, causing 1.5 million deaths
in 2020. Diagnostic tests for TB are often inaccurate, expensive, and inaccessible, making …