Medical Students’ Knowledge about Artificial Intelligence and Their Perspectives towards Applying It in The Medical Field

Abstract

Background: The applications of Artificial intelligence (AI) in medical practice is limited, reflecting a resistance to change and possibly misperceptions. This limited AI exposure during study and practice impacted students’ future career decision-making. This study aims to evaluate the baseline knowledge of the medical students about AI and their perspectives.Methods: This is a cross-sectional study that was conducted at Suez Canal, Cairo and King Salman International University, Faculty of Medicine, Egypt. A structured valid online questionnaire was used to collect data.Results: Regarding perception towards AI application in medical teaching, 44% to 81% of students have positive perception with the lowest was for “artificial intelligence can replace traditional teaching method” and the highest was for “It is important for universities to integrate artificial intelligence into their medical education”. A range from 47% to 83% of students have positive perception towards AI application in clinical practice, with the lowest was for “artificial intelligence will replace some specialties” and the highest was for “artificial intelligence can aid in medical research”. Perceptions of participants towards the possible influences of AI on patients, a range 48% to 76% of students have positive perception with the lowest for “AI negatively affects the relationship of the physician with the patient” and the highest was for “artificial intelligence facilitates patients' access to the service. Conclusion: Almost half of the responses were positive concerning the general perception towards AI and its utility in medical teaching and clinical practice and also towards its possible influences on patients.

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