Attitude of aspiring orthopaedic surgeons towards artificial intelligence: a multinational cross-sectional survey study.

Autor: Pawelczyk J; Klinikum rechts der Isar, Sektion Sportorthopädie, Technische Universität München, Haus 524, Ismaninger Str. 22, 81675, Munich, Germany., Kraus M; Schulthess Klinik, Abteilung für Schulter- und Ellenbogenchirurgie, Zurich, Switzerland., Eckl L; Schulthess Klinik, Abteilung für Schulter- und Ellenbogenchirurgie, Zurich, Switzerland., Nehrer S; Klinische Abteilung für Orthopädie und Traumatologie, Universitätsklinikum Krems, Krems an der Donau, Austria.; Zentrum für Regenerative Medizin, Universität für Weiterbildung Krems, Krems an der Donau, Austria.; Fakultät für Gesundheit und Medizin, Universität für Weiterbildung Krems, Krems an der Donau, Austria., Aurich M; Universitätsklinikum Halle (Saale), Halle, Germany.; BG Klinikum Bergmannstrost, Halle, Germany., Izadpanah K; Klinik für Orthopädie und Unfallchirurgie, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany., Siebenlist S; Klinikum rechts der Isar, Sektion Sportorthopädie, Technische Universität München, Haus 524, Ismaninger Str. 22, 81675, Munich, Germany. sebastian.siebenlist@mri.tum.de., Rupp MC; Klinikum rechts der Isar, Sektion Sportorthopädie, Technische Universität München, Haus 524, Ismaninger Str. 22, 81675, Munich, Germany.
Jazyk: angličtina
Zdroj: Archives of orthopaedic and trauma surgery [Arch Orthop Trauma Surg] 2024 Aug; Vol. 144 (8), pp. 3541-3552. Date of Electronic Publication: 2024 Aug 10.
DOI: 10.1007/s00402-024-05408-0
Abstrakt: Introduction: The purpose of this study was to evaluate the perspectives of aspiring orthopaedic surgeons on artificial intelligence (AI), analysing how gender, AI knowledge, and technical inclination influence views on AI. Additionally, the extent to which recent AI advancements sway career decisions was assessed.
Materials and Methods: A digital survey was distributed to student members of orthopaedic societies across Germany, Switzerland, and Austria. Subgroup analyses explored how gender, AI knowledge, and technical inclination shape attitudes towards AI.
Results: Of 174 total respondents, 86.2% (n = 150) intended to pursue a career in orthopaedic surgery and were included in the analysis. The majority (74.5%) reported 'basic' or 'no' knowledge about AI. Approximately 29.3% believed AI would significantly impact orthopaedics within 5 years, with another 35.3% projecting 5-10 years. AI was predominantly seen as an assistive tool (77.8%), without significant fear of job displacement. The most valued AI applications were identified as preoperative implant planning (85.3%), administrative tasks (84%), and image analysis (81.3%). Concerns arose regarding skill atrophy due to overreliance (69.3%), liability (68%), and diminished patient interaction (56%). The majority maintained a 'neutral' view on AI (53%), though 32.9% were 'enthusiastic'. A stronger focus on AI in medical education was requested by 81.9%. Most participants (72.8%) felt recent AI advancements did not alter their career decisions towards or away from the orthopaedic specialty. Statistical analysis revealed a significant association between AI literacy (p = 0.015) and technical inclination (p = 0.003). AI literacy did not increase significantly during medical education (p = 0.091).
Conclusions: Future orthopaedic surgeons exhibit a favourable outlook on AI, foreseeing its significant influence in the near future. AI literacy remains relatively low and showed no improvement during medical school. There is notable demand for improved AI-related education. The choice of orthopaedics as a specialty appears to be robust against the sway of recent AI advancements.
Level of Evidence: Cross-sectional survey study; level IV.
(© 2024. The Author(s).)
Databáze: MEDLINE
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