Exploring the use of AI methods and chatbots in medical education among medical students in Jordan

A cross-sectional study

Bibliographic Data

ID22424931
AuthorsHiba Alzoubi (0000-0002-8890-4455, Yarmouk University), Saleh A Ba-shammakh (0000-0003-1927-8507, Ministry of Health), Sofian Khasawneh (Yarmouk University), Omar Mahrouq (Yarmouk University), Khalifa Alomari, Khalifa Ahmed Alomari (Yarmouk University), Ahmed Almomani (0000-0002-1302-7590, Yarmouk University), Deema Thalji (Yarmouk University), Tasneem Khaleel, Tasneem F Khaleel (Yarmouk University), Raghad Yousef (Yarmouk University), Anwar Rjoop (0009-0008-9131-1555, Jordan University of Science and Technology), Husam Abu Dawood (0009-0005-3109-2600, Palestine Polytechnic University, corresponding author), Hashem Abu Serhan (0000-0002-2953-2188, Hamad Medical Corporation)
Year2026
Volume26
Issue1
Publication date2026-02-18
Open AccessYes
TypeARTICLE
VenueBMC Medical Education (JOURNAL)
Journal identifiersISSN: 1472-6920 • E-ISSN: 1472-6920
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s12909-026-08836-1
PMID41703581
OpenAlexW7129210846
LanguageEN
References cited16

BACKGROUND: To determine the attitude of the medical students towards the introduction of artificial intelligence (AI) in undergraduate medical students at Jordanian universities. METHODS: An online cross-sectional survey was conducted over three months, from October 2023 to December 2023, and 1099 medical students participated from different Jordanian universities. The survey comprised four key sections: demographics, AI Exposure, perceptions and future outlook, and ethical concerns. RESULTS: The survey revealed a notable gender disparity in AI usage among medical students, in which females constituted a larger proportion (74%). Among the types of chatbots used, ChatGPT (GPT-3.5) was the most popular and used by 47.5% of students, and 49.4% indicated 1–5 h saved per week when using chatbots in general. 35.4% agreed that AI would benefit their future careers as doctors, and 30% agreed that medical students should be educated about the limitations and potential risks of AI technologies in patient care. CONCLUSION: The findings underscore the importance of integrating discussions about AI in medical curricula to ensure students are well-informed and prepared for the evolving landscape of healthcare.

Chatbot · Curriculum · Medical school · MEDLINE · Perception · AI in Service Interactions · Artificial Intelligence in Healthcare and Education · Digital Mental Health Interventions

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