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Artificial intelligence in shoulder and elbow surgery: overview of current and future applications.
Levin, Jay M; Lorentz, Samuel G; Hurley, Eoghan T; Lee, Julia; Throckmorton, Thomas W; Garrigues, Grant E; MacDonald, Peter; Anakwenze, Oke; Schoch, Bradley S; Klifto, Christopher.
  • Levin JM; Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA. Electronic address: jay.m.levin@duke.edu.
  • Lorentz SG; Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA.
  • Hurley ET; Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA.
  • Lee J; Department of Orthopedic Surgery, Sierra Pacific Orthopedics, Fresno, CA, USA.
  • Throckmorton TW; Department of Orthopaedic Surgery, University of Tennessee-Campbell Clinic, Germantown, TN, USA.
  • Garrigues GE; Midwest Orthopaedics at Rush, Chicago, IL, USA.
  • MacDonald P; Section of Orthopaedic Surgery & The Pan Am Clinic, University of Manitoba, Winnipeg, MB, Canada.
  • Anakwenze O; Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA.
  • Schoch BS; Department of Orthopedic Surgery, Mayo Clinic, Jacksonville, FL, USA.
  • Klifto C; Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, USA.
J Shoulder Elbow Surg ; 33(7): 1633-1641, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38430978
ABSTRACT
Artificial intelligence (AI) is amongst the most rapidly growing technologies in orthopedic surgery. With the exponential growth in healthcare data, computing power, and complex predictive algorithms, this technology is poised to aid providers in data processing and clinical decision support throughout the continuum of orthopedic care. Understanding the utility and limitations of this technology is vital to practicing orthopedic surgeons, as these applications will become more common place in everyday practice. AI has already demonstrated its utility in shoulder and elbow surgery for imaging-based diagnosis, predictive modeling of clinical outcomes, implant identification, and automated image segmentation. The future integration of AI and robotic surgery represents the largest potential application of AI in shoulder and elbow surgery with the potential for significant clinical and financial impact. This editorial's purpose is to summarize common AI terms, provide a framework to understand and interpret AI model results, and discuss current applications and future directions within shoulder and elbow surgery.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial Límite: Humans Idioma: En Año: 2024 Tipo del documento: Article