Artificial intelligence in medical education - perception among medical students
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View abstract on PubMed
Summary
This summary is machine-generated.Medical students see Artificial Intelligence (AI) as assistive but have ethical concerns. They demand structured AI education in curricula to improve healthcare and address risks.
Area Of Science
- Medical Education
- Health Informatics
- Artificial Intelligence in Healthcare
Background
- The World Medical Association recommends integrating Artificial Intelligence (AI) education into medical curricula.
- AI is increasingly used in healthcare, from robotic surgery to medical image analysis.
- This study assesses medical students' views on AI in medicine, their training preferences, and ethical understanding.
Purpose Of The Study
- To evaluate medical students' perceptions of AI in medicine.
- To determine students' preferences for AI training within their education.
- To assess students' understanding of AI's ethical implications in healthcare.
Main Methods
- A cross-sectional study involving 325 medical students in Kerala.
- Utilized a pre-validated, semi-structured questionnaire.
- Collected demographic data, prior AI education experience, and self-assessed AI knowledge and understanding of applications.
Main Results
- 57.2% viewed AI as assistive for reducing medical errors; 54.2% believed it enhances decision accuracy.
- Concerns included AI replacing physicians (37.6%) and reducing the humanistic aspect of medicine (69.2%).
- Students expressed strong demand for structured AI training, especially on error reduction (76.9%) and ethics (79.4%).
Conclusions
- Medical students perceive AI as an assistive technology but have significant ethical concerns.
- There is a clear demand for structured AI training in undergraduate medical curricula.
- Findings offer insights for curriculum development to meet evolving healthcare needs and ethical standards.
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