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Medical students' attitude towards artificial intelligence: a multicentre survey
D Pinto Dos Santos1, D Giese2, S Brodehl3
1Department of Radiology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany. daniel.pinto-dos-santos@uk-koeln.de.
European Radiology
|July 8, 2018
Summary
Medical students are aware of artificial intelligence (AI) in radiology and medicine, recognizing its potential to improve diagnostics without replacing human expertise. They support integrating AI into medical training to prepare for its growing role.
Area of Science:
- Medical Education
- Radiology
- Artificial Intelligence
Background:
- Artificial intelligence (AI) is rapidly evolving, with significant implications for medical practice.
- Understanding medical students' perceptions of AI is crucial for future healthcare training and integration.
Purpose of the Study:
- To assess undergraduate medical students' attitudes towards artificial intelligence (AI) in radiology and medicine.
- To evaluate students' awareness of AI technologies and their perceived impact on the field.
Main Methods:
- A web-based questionnaire was distributed to students at three major medical schools.
- The survey assessed prior knowledge, attitudes towards AI in radiology and general medicine, and perceived applications.
- Anonymity was ensured for all respondents.
Main Results:
- 263 students responded, with 52% aware of AI in radiology discussions but 68% unaware of specific technologies.
- Most students (83%) believed AI could detect pathologies but not establish definitive diagnoses (56%).
- A majority (77-86%) agreed AI would revolutionize radiology, but disagreed (83%) it would replace radiologists; 71% supported AI in medical training.
Conclusions:
- Undergraduate medical students possess awareness of AI's potential in radiology and medicine.
- Students do not fear AI replacing human radiologists or physicians.
- Radiology departments should lead in educating students about AI in medical training.
