Artificial Intelligence in medical education: A comparative study between faculty members and medical students in Sohag University, Egypt
Year: 2024
Type: article
Study design: Observational Study
Abstract: Introduction: Artificial Intelligence (AI) is creating a revolution and gain a tremendous importance in nearly all fields. AI is a system that uses human abilities as intelligence in analysing the surrounding environment to make decisions and achieve specific goals. The objective of the current study was to evaluate the attitude towards AI and perception of barriers of AI implementation as well as factors associated with them among medical students and medical staff. Methods: A comparative cross-sectional study was conducted among medical students and staff of Sohag University using self-filled online questionnaire. A web-based survey using Google Forms was distributed to participants through social media platforms (WhatsApp, Facebook, Messenger) and university e-mails. Results: A total of 796 participants completed the questionnaire of whom 484 were medical students. Their mean age was 20.9 ± 1.9 for students and 39 ± 8 for medical staff. Females represented 41.5% of students and 75.3% of staff. 17.4% and 13.8% of medical students and staff were proficient at computer technology. Most of the participants reported neutral (58.7%) to positive (32%) attitude towards AI. More than 70% of participants believed that need of appropriate infrastructure, the need for training faculty members and medical students on AI applications and high cost are barriers for AI implementation. Conclusions: As AI applications are becoming widely prevalent, efforts should be directed to incorporate AI in the educational curriculum and train students and staff regarding AI and its applications to prepare them to keep pace with the rapidly changing world.
Authors: Seham Ahmed Abokresha, Alaa Ahmed Ghaleb, Fatma Ali Mahmoud
Institution: Sohag University
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4405959049