What should medical students know about artificial intelligence in medicine?

• Published in: Journal of educational evaluation for health professions Vol. 16; pp. 18 - 6
• Main Authors: Park, Seong Ho, Do, Kyung-Hyun, Kim, Sungwon, Park, Joo Hyun, Lim, Young-Suk
• Format: Journal Article
• Language: English
• Published: Korea (South) Korea Health Personnel Licensing Examination Institute 2019; 한국보건의료인국가시험원
• Subjects: Accuracy; Algorithms; Artificial intelligence; Artificial Intelligence - trends; Big Data; Biostatistics; Cancer; Clinical medicine; Datasets; Deep learning; Diffusion of Innovation; Education, Medical; Evidence-Based Medicine; Humans; Machine learning; Machine Learning - trends; Medical education; Medical practices; Medical students; Oncology; Review; Software; Students, Medical; University students; 교육학; United States > US; Deep learning; Medical students; Artificial intelligence; Machine learning
• ISSN: 1975-5937; 1975-5937
• DOI: 10.3352/jeehp.2019.16.18

Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does not merely mean learning information technology such as computer programming. One should acquire sufficient knowledge of basic and clinical medicines, data science, biostatistics, and evidence-based medicine. As a medical student, one should not passively accept stories related to AI in medicine in the media and on the Internet. Medical students should try to develop abilities to distinguish correct information from hype and spin and even capabilities to create thoroughly validated, trustworthy information for patients and the public.