The Role of Artificial Intelligence in Surgery: What do General Surgery Residents Think?

被引:2
作者
St John, Ace [1 ,3 ]
Cooper, Laura [1 ]
Kavic, Stephen M. [2 ]
机构
[1] Univ Maryland, Med Ctr, Baltimore, MD USA
[2] Univ Maryland, Sch Med, Baltimore, MD USA
[3] Univ Maryland, Surg, Med Ctr, 22 S Greene St, Baltimore, MD 21201 USA
关键词
artificial intelligence; surgery; residency;
D O I
10.1177/00031348231209524
中图分类号
R61 [外科手术学];
学科分类号
摘要
Background: Artificial intelligence (AI) holds significant potential in medical education and patient care, but its rapid emergence presents ethical and practical challenges. This study explored the perspectives of surgical residents on AI's role in medicine. Methods: We performed a cross-sectional study surveying general surgery residents at a university-affiliated teaching hospital about their views on AI in medicine and surgical training. The survey covered demographics, residents' understanding of AI, its integration into medical practice, and use of AI tools like ChatGPT. The survey design was inspired by a recent national survey and underwent pretesting before deployment. Results: Of the 31 participants surveyed, 24% identified diagnostics as AI's top application, 12% favored its use in identifying anatomical structures in surgeries, and 20% endorsed AI integration into EMRs for predictive models. Attitudes toward AI varied based on its intended application: 77.41% expressed concern about AI making life decisions and 70.97% felt excited about its application for repetitive tasks. A significant 67.74% believed AI could enhance the understanding of medical knowledge. Perception of AI integration varied with AI familiarity (P =.01), with more knowledgeable respondents expressing more positivity. Moreover, familiarity influenced the perceived academic use of ChatGPT (P =.039) and attitudes toward AI in operating rooms (P =.032). Conclusion: This study provides insights into surgery residents' perceptions of AI in medical practice and training. These findings can inform future research, shape policy decisions, and guide AI development, promoting a harmonious collaboration between AI and surgeons to improve both training and patient care.
引用
收藏
页码:541 / 549
页数:9
相关论文
共 19 条
  • [1] Impact of the Rise of Artificial Intelligence in Radiology: What Do Students Think?
    Barreiro-Ares, Andres
    Morales-Santiago, Annia
    Sendra-Portero, Francisco
    Souto-Bayarri, Miguel
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2023, 20 (02)
  • [2] Altmetric Analysis of the Online Attention Directed to Artificial Intelligence Literature in Ophthalmology
    Bui, Tommy
    Patel, Parth A.
    Boyd, Carter J.
    [J]. ASIA-PACIFIC JOURNAL OF OPHTHALMOLOGY, 2023, 12 (06): : 625 - 626
  • [3] Chan Kai Siang, 2019, JMIR Med Educ, V5, pe13930, DOI 10.2196/13930
  • [4] Medical students' attitude towards artificial intelligence: a multicentre survey
    dos Santos, D. Pinto
    Giese, D.
    Brodehl, S.
    Chon, S. H.
    Staab, W.
    Kleinert, R.
    Maintz, D.
    Baessler, B.
    [J]. EUROPEAN RADIOLOGY, 2019, 29 (04) : 1640 - 1646
  • [5] Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients
    Fritsch, Sebastian J.
    Blankenheim, Andrea
    Wahl, Alina
    Hetfeld, Petra
    Maassen, Oliver
    Deffge, Saskia
    Kunze, Julian
    Rossaint, Rolf
    Riedel, Morris
    Marx, Gernot
    Bickenbach, Johannes
    [J]. DIGITAL HEALTH, 2022, 8
  • [6] GROSSI EA, 1994, SURGERY, V116, P250
  • [7] Advancing Surgical Education: The Use of Artificial Intelligence in Surgical Training
    Guerrero, David T.
    Asaad, Malke
    Rajesh, Aashish
    Hassan, Abbas
    Butler, Charles E.
    [J]. AMERICAN SURGEON, 2023, 89 (01) : 49 - 54
  • [8] Artificial Intelligence and Clinical Decision Making: The New Nature of Medical Uncertainty
    Harish, Vinyas
    Morgado, Felipe
    Stern, Ariel D.
    Das, Sunit
    [J]. ACADEMIC MEDICINE, 2021, 96 (01) : 31 - 36
  • [9] Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey
    Horsfall, Hugo Layard
    Palmisciano, Paolo
    Khan, Danyal Z.
    Muirhead, William
    Koh, Chan Hee
    Stoyanov, Danail
    Marcus, Hani J.
    [J]. WORLD NEUROSURGERY, 2021, 146 : E724 - E730
  • [10] Differences in Knowledge and Perspectives on the Usage of Artificial Intelligence Among Doctors and Medical Students of a Developing Country: A Cross-Sectional Study
    Kansal, Rohin
    Bawa, Ashvind
    Bansal, Arpit
    Trehan, Shubam
    Goyal, Kashish
    Goyal, Naresh
    Malhotra, Kashish
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2022, 14 (01)