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Knowledge, Attitude, and Perception of Medical Students Toward AI-Based Learning: A Cross-Sectional Study
Danyal Khan1, Muhammad Dawood1, Ihtiram Ullah1
1Medicine and Surgery Gomal Medical College Dera Ismail Khan Pakistan.
Public Health Challenges
|June 8, 2026
Summary
Medical students in Pakistan show high enthusiasm for artificial intelligence (AI) in learning, but their knowledge is limited. Structured AI education is crucial to prepare future physicians for AI integration in healthcare.
Area of Science:
- Medical Education
- Artificial Intelligence
- Healthcare Technology
Background:
- Artificial intelligence (AI) is increasingly impacting healthcare delivery and medical education globally.
- Limited understanding exists regarding medical students' knowledge, attitudes, and perceptions (KAP) of AI-based learning in Pakistan.
- Assessing these KAP factors is vital for curriculum development and preparing future physicians for an AI-integrated health system.
Purpose of the Study:
- To evaluate the knowledge, attitudes, and perceptions (KAP) of medical students in Khyber Pakhtunkhwa (KP), Pakistan, concerning AI-based learning.
Main Methods:
- A cross-sectional survey involving 392 medical students from multiple colleges in KP.
- A structured, self-administered questionnaire assessed KAP towards AI-based learning.
- Data analysis included descriptive statistics, chi-square tests, and ordinal logistic regression (p < 0.05 significance).
Main Results:
- Most students (62.8%) had moderate knowledge of AI-based learning; only 30.4% scored high.
- Senior students showed significantly greater knowledge than preclinical students (p < 0.05).
- Attitudes were predominantly positive (74.8% favorable views), with minimal negative perceptions (0.8%).
Conclusions:
- Medical students in KP possess positive attitudes and enthusiasm for AI-based learning, but their knowledge is moderate and varies by academic year.
- A significant gap exists between student enthusiasm and comprehensive understanding of AI in medicine.
- Integrating formal AI education, workshops, and faculty development into undergraduate curricula is essential to bridge this gap and prepare future physicians for AI adoption in clinical practice.