Artificial intelligence in advanced surgical training An overview

被引：0
|
作者：
Deichsel, Adrian [1 ]
Oettl, Felix C. [2 ,3 ]
Pawelczyk, Johannes [4 ]
Usov, Lea [5 ]
Haffer, Henryk [6 ]
机构：
[1] Univ Klinikum Munster, Klin Unfall Hand & Wiederherstellungschirurg, Albert Schweitzer Campus 1, D-48149 Munster, Germany
[2] Balgrist Univ Klin, Zurich, Switzerland
[3] Hosp Special Surg, New York, NY USA
[4] Tech Univ Munich, Klinikum Rechts Isar, Sekt Sportorthopadie, Munich, Germany
[5] Univ Klinikum Frankfurt Main, Abt Unfallchirurg & Orthopadie, Frankfurt, Germany
[6] Charite Univ Med Berlin, Ctr Muskuloskeletale Chirurg, Berlin, Germany
来源：
UNFALLCHIRURGIE | 2025年
关键词：
Assessment; Feedback; Training; Digital assistant; Ethics; COMPETENCE; EDUCATION;
D O I：
10.1007/s00113-025-01558-x
中图分类号：
R4 [临床医学];
学科分类号：
1002 ; 100602 ;
摘要：
The integration of artificial intelligence (AI) into medical education and advanced training is gaining in importance. Especially in advanced surgical training AI offers potential to support both theoretical and practical learning processes. Applications include interactive chatbots, digital assistance systems and automated assessment of surgical skills using computer vision and machine learning. This article provides an overview of current developments, opportunities and challenges of AI in advanced surgical training.
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页数：7
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