Attitudes toward and readiness for medical artificial intelligence among medical and health science students

Authors

Jonas Preposi Cruz, Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek Khans St 5/1, Astana, Kazakhstan, 010000
Anara Sembekova, Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Kerey and Zhanibek Khans St 5/1, Astana, Kazakhstan, 010000
Dinara Omirzakova, Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek Khans St 5/1, Astana, Kazakhstan, 010000
Srinivasa Rao Bolla, Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Kerey and Zhanibek Khans St 5/1, Astana, Kazakhstan, 010000
Ejercito Mangawa Balay-odao, Department of Medicine, School of Medicine, Nazarbayev University, Kerey and Zhanibek Khans St 5/1, Astana, Kazakhstan, 010000 School of Advanced Studies, Saint Louis University, Baguio City, PhilippinesFollow

Abstract

Purpose: This study assessed general attitudes toward artificial intelligence and medical artificial intelligence readiness among medical and health sciences students and examined the factors that influence the medical artificial intelligence readiness of the students.

Methods: A descriptive cross-sectional quantitative online survey was conducted among medical and health sciences students. We employed the 'General Attitudes Toward Artificial Intelligence Scale' (GAAIS) to assess students' artificial intelligence attitudes and the 'Medical Artificial Intelligence Readiness of Students Scale for Medical Students' (MAIRS-MS) to measure student readiness for medical artificial intelligence.

Results: Nearly all students did not receive/ attend any experience of artificial intelligence education from medical school (95.3%) or outside of medical school (85.0%), and most of them received information about artificial intelligence from the media (74.8%). The students reported a poor knowledge of artificial intelligence and its application in healthcare. The students demonstrated a negative to neutral general attitude towards artificial intelligence and poor overall readiness for medical artificial intelligence. Knowledge of artificial intelligence applications in healthcare care and a generally positive attitude toward artificial intelligence were associated with increased readiness for medical artificial intelligence among students.

Conclusion: The study findings can inform education policymakers and medical and health science professors about creating, introducing, and integrating new curricular content involving artificial intelligence in medical schools. Including medical artificial intelligence content in medical and health science curricula will increase students’ readiness and improve its use for more advanced patient care.

Recommended Citation

Cruz, Jonas Preposi; Sembekova, Anara; Omirzakova, Dinara; Bolla, Srinivasa Rao; and Balay-odao, Ejercito Mangawa (2024) "Attitudes toward and readiness for medical artificial intelligence among medical and health science students," Health Professions Education: Vol. 10: Iss. 3, Article 15.
DOI: 10.55890/2452-3011.1296
Available at: https://hpe.researchcommons.org/journal/vol10/iss3/15