Your browser doesn't support javascript.
loading
Unveiling the potential of artificial intelligence in orthopaedic surgery.
Powling, Amber S; Lisacek-Kiosoglous, Anthony B; Fontalis, Andreas; Mazomenos, Evangelos; Haddad, Fares S.
Afiliación
  • Powling AS; Barts and The London School of Medicine and Dentistry, School of Medicine London, London, UK.
  • Lisacek-Kiosoglous AB; Department of Trauma and Orthopaedic Surgery, University College London Hospitals NHS Foundation Trust, London, UK.
  • Fontalis A; Department of Trauma and Orthopaedic Surgery, University College London Hospitals NHS Foundation Trust, London, UK.
  • Mazomenos E; Department of Trauma and Orthopaedic Surgery, University College London Hospitals NHS Foundation Trust, London, UK.
  • Haddad FS; Division of Surgery and Interventional Science, University College London, London, UK.
Br J Hosp Med (Lond) ; 84(12): 1-5, 2023 Dec 02.
Article en En | MEDLINE | ID: mdl-38153019
ABSTRACT
Artificial intelligence is paving the way in contemporary medical advances, with the potential to revolutionise orthopaedic surgical care. By harnessing the power of complex algorithms, artificial intelligence yields outputs that have diverse applications including, but not limited to, identifying implants, diagnostic imaging for fracture and tumour recognition, prognostic tools through the use of electronic medical records, assessing arthroplasty outcomes, length of hospital stay and economic costs, monitoring the progress of functional rehabilitation, and innovative surgical training via simulation. However, amid the promising potential and enthusiasm surrounding artificial intelligence, clinicians should understand its limitations, and caution is needed before artificial intelligence-driven tools are introduced to clinical practice.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ortopedia / Inteligencia Artificial Límite: Humans Idioma: En Revista: Br J Hosp Med (Lond) Asunto de la revista: HOSPITAIS / MEDICINA Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Ortopedia / Inteligencia Artificial Límite: Humans Idioma: En Revista: Br J Hosp Med (Lond) Asunto de la revista: HOSPITAIS / MEDICINA Año: 2023 Tipo del documento: Article