Background: Artificial intelligence (AI) programs generate responses to input text, showcasing their innovative capabilities in
education and demonstrating various potential benefits, particularly in the field of medical education. The current knowledge of health
profession students about AI programs has still not been assessed in Jordan and the West Bank of Palestine (WBP).
Aim: This study aimed to assess students� awareness and practice of AI programs in medicine and pharmacy in Jordan and the WBP.
Methods: This study was in the form of an observational, cross-sectional survey. A questionnaire was electronically distributed
among students of medicine and pharmacy at An-Najah National University (WBP), Al-Isra University (Jordan), and Al-Balqa
Applied University (Jordan). The questionnaire consisted of three main categories: sociodemographic characteristics of the participants,
practice of AI programs, and perceptions of AI programs, including ChatGPT.
Results: A total of 321 students responded to the distributed questionnaire, and 261 participants (81.3%) stated that they had heard
about AI programs. In addition, 135 participants had used AI programs before (42.1%), while less than half the participants used them
in their university studies (44.2%): for drug information (44.5%), homework (38.9%), and writing research articles (39.3%). There was
significantly (48.3%, P<0.005) more conviction in the use of AI programs for writing research articles among pharmacy students from
Palestine compared to Jordan. Lastly, there was significantly more (53.8%, P<0.05) AI program use among medicine students than
pharmacy students.
Conclusion: While most medicine and pharmacy students had heard about AI programs, only a small proportion of the participants
had used them in their medical study. In addition, attitudes and practice related to AI programs in their education differs between
medicine and pharmacy students and between WBP and Jordan.

Title

Advances in Medical Education and Practice

Publisher

Dovepress

Publisher Country

United Kingdom

Indexing

Thomson Reuters

Impact Factor

2.0

Publication Type

Both (Printed and Online)

Volume

14

Year

2023

Pages

1391-1400