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Applications of Artificial Intelligence in Pain Medicine.
Abd-Elsayed, Alaa; Robinson, Christopher L; Marshall, Zwade; Diwan, Sudhir; Peters, Theodore.
Afiliação
  • Abd-Elsayed A; Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, 750 Highland Ave, Madison, WI, 53726, USA. alaaawny@hotmail.com.
  • Robinson CL; Department of Anesthesiology, Critical Care, and Pain Medicine Harvard Medical School, Beth Israel Deaconess Medical Center, Boston, MA, USA.
  • Marshall Z; Regenerative Spine & Pain Specialists, Atlanta, GA, USA.
  • Diwan S; Albert Einstein College of Medicine, Lenox Hill Hospital, New York City, NY, USA.
  • Peters T; Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, 750 Highland Ave, Madison, WI, 53726, USA.
Curr Pain Headache Rep ; 28(4): 229-238, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38345695
ABSTRACT
PURPOSE OF REVIEW This review explores the current applications of artificial intelligence (AI) in the field of pain medicine with a focus on machine learning. RECENT

FINDINGS:

Utilizing a literature search conducted through the PubMed database, several current trends were identified, including the use of AI as a tool for diagnostics, predicting pain progression, predicting treatment response, and performance of therapy and pain management. Results of these studies show promise for the improvement of patient outcomes. Current gaps in the research and subsequent directions for future study involve AI in optimizing and improving nerve stimulation and more thoroughly predicting patients' responses to treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Analgésicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Curr Pain Headache Rep Assunto da revista: FISIOLOGIA / NEUROLOGIA / PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Analgésicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Curr Pain Headache Rep Assunto da revista: FISIOLOGIA / NEUROLOGIA / PSICOFISIOLOGIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos