Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine |
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| Authors: | Christian J Park Paul H Yi Eliot L Siegel |
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| Institution: | 1. Penn State Health Milton S. Hershey Medical Center, Department of Radiology, Hershey, PA;2. The Johns Hopkins Hospital, Department of Radiology, Baltimore, MD;3. University of Maryland Medical Center, Baltimore, MD;4. VA Maryland Health Care System, Baltimore, MD;1. Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA;2. Department of Radiology and Imaging Sciences, Emory University and Emory Healthcare, Atlanta, GA;1. University of Arkansas School of Medicine, Little Rock, AR;2. Department of Diagnostic Radiology and Imaging Sciences, Emory School of Medicine, Atlanta, GA;3. Department of Biostatistics and Bioinformatics, Emory University School of Medicine, Atlanta, Georgia, Atlanta, GA;4. Division of Interventional Radiology and Image Guided Medicine, Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA;1. Children''s Hospital of Philadelphia, Department of Radiology, Division of Neuroradiology, Philadelphia, PA;2. New York Presbyterian/Weill Cornell, Department of Radiology, Division of Neuroradiology, New York, NY;3. Montefiore Medical Center, Department of Medicine, Bronx, NY;4. VA San Diego Healthcare System, Department of Medicine, San Diego, CA;5. UCSD, Department of Medicine, La Jolla, CA;6. Keck School of Medicine of the University of Southern California, Department of Medicine, Los Angeles, CA;7. Moffitt Cancer Center, Department of Radiology, Tampa, FL;8. Montefiore Medical Center, Department of Radiology, Division of Neuroradiology, Bronx, NY;1. Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD;2. Department of Radiology, University of Washington, Seattle, WA;1. Department of Radiodiagnosis, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India;2. Department of Gastroenterology, Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India |
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| Abstract: | IntroductionConcerns about radiologists being replaced by artificial intelligence (AI) from the lay media could have a negative impact on medical students’ perceptions of radiology as a viable specialty. The purpose of this study was to evaluate United States of America medical students’ perceptions about radiology and other medical specialties in relation to AI.MethodsAn anonymous, web-based survey was sent to 32 radiology interest groups at United States medical schools. The survey was comprised of 6 questions assessing medical student perceptions of AI and its potential impact on radiology and other medical specialties. Responses were voluntary and collected over a 6-month period from November 2017 to April 2018.ResultsA total of 156 students responded with representation from each year of medical school. Over 75% agreed that AI would have a significant role in the future of medicine. Most (66%) agreed that diagnostic radiology would be the specialty most greatly affected. Nearly half (44%) reported that AI made them less enthusiastic about radiology. The majority of students (57%) obtained their information about AI from online articles. Thematic analysis of free answer comments revealed mostly neutral comments towards AI, however, the negative responses were the strongest and most detailed.ConclusionsUS medical students believe that AI will play a significant role in medicine, particularly in radiology. However, nearly half are less enthusiastic about the field of radiology due to AI. As the majority receive information about AI from online articles, which may have negative sentiments towards AI's impact on radiology, formal AI education and medical student outreach may help combat misinformation and help prevent the dissuading of medical students who might otherwise consider the specialty. |
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