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Artificial intelligence based real-time video ergonomic assessment and training improves resident ergonomics.
Hamilton, Barbara Cs; Dairywala, Mohammed I; Highet, Alexandra; Nguyen, Tom C; O'Sullivan, Patricia; Chern, Hueylan; Soriano, Ian S.
Afiliación
  • Hamilton BC; Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA. Electronic address: hamiltba@med.umich.edu.
  • Dairywala MI; Department of Cardiothoracic and Vascular Surgery, University of Texas Health Science Center, McGovern Medical School, 6400 Fannin St Suite 2850, Houston, TX, 77030, USA.
  • Highet A; Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.
  • Nguyen TC; Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.
  • O'Sullivan P; Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.
  • Chern H; Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.
  • Soriano IS; Department of Surgery, University of California, 505 Parnassus Avenue, San Francisco, CA, 94117, USA.
Am J Surg ; 226(5): 741-746, 2023 11.
Article en En | MEDLINE | ID: mdl-37500299
BACKGROUND: Surgery demands long hours and intense exertion raising ergonomic concerns. We piloted a sensorless artificial intelligence (AI)-assisted ergonomics analysis app to determine its feasibility for use with residents. METHODS: Surgery residents performed simulated laparoscopic tasks before and after a review of the SCORE ergonomics curriculum while filmed with a sensorless app from Kinetica Labs that calculates joint angles as a metric of ergonomics. A survey was completed before the session and a focus group was conducted after. RESULTS: Thirteen surgical residents participated in the study. The brief intervention took little time and residents improved their ergonomic scores in neck and right shoulder angles. Residents expressed increased awareness of ergonomics based on the session content and AI information. All trainees desired more training in ergonomics. CONCLUSIONS: Ergonomic assessment AI software can provide immediate feedback to surgical trainees to improve ergonomics. Additional studies using sensorless AI technology are needed.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades Musculoesqueléticas Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Am J Surg Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Inteligencia Artificial / Enfermedades Musculoesqueléticas Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Am J Surg Año: 2023 Tipo del documento: Article