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Artificial Intelligence: Singularity Approaches.
TerKonda, Sarvam P; TerKonda, Anurag A; Sacks, Justin M; Kinney, Brian M; Gurtner, Geoff C; Nachbar, James M; Reddy, Sashank K; Jeffers, Lynn L.
Afiliación
  • TerKonda SP; From the Division of Plastic and Reconstructive Surgery, Mayo Clinic Florida.
  • TerKonda AA; Division of Plastic and Reconstructive Surgery, Washington University School of Medicine in St. Louis.
  • Sacks JM; Division of Plastic and Reconstructive Surgery, Washington University School of Medicine in St. Louis.
  • Kinney BM; Division of Plastic Surgery, University of Southern California.
  • Gurtner GC; Division of Plastic and Reconstructive Surgery, Stanford University.
  • Nachbar JM; private practice.
  • Reddy SK; Department of Plastic Surgery, Johns Hopkins University.
  • Jeffers LL; St. John's Hospital Camarillo.
Plast Reconstr Surg ; 153(1): 204e-217e, 2024 01 01.
Article en En | MEDLINE | ID: mdl-37075274
SUMMARY: Artificial intelligence (AI) has been a disruptive technology within health care, from the development of simple care algorithms to complex deep-learning models. AI has the potential to reduce the burden of administrative tasks, advance clinical decision-making, and improve patient outcomes. Unlocking the full potential of AI requires the analysis of vast quantities of clinical information. Although AI holds tremendous promise, widespread adoption within plastic surgery remains limited. Understanding the basics is essential for plastic surgeons to evaluate the potential uses of AI. This review provides an introduction of AI, including the history of AI, key concepts, applications of AI in plastic surgery, and future implications.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procedimientos de Cirugía Plástica / Cirujanos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Plast Reconstr Surg Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procedimientos de Cirugía Plástica / Cirujanos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Plast Reconstr Surg Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos