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Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes.
Huang, Jingtong; Yeung, Andrea M; Armstrong, David G; Battarbee, Ashley N; Cuadros, Jorge; Espinoza, Juan C; Kleinberg, Samantha; Mathioudakis, Nestoras; Swerdlow, Mark A; Klonoff, David C.
Afiliação
  • Huang J; Diabetes Technology Society, Burlingame, CA, USA.
  • Yeung AM; Diabetes Technology Society, Burlingame, CA, USA.
  • Armstrong DG; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Battarbee AN; Center for Women's Reproductive Health, The University of Alabama at Birmingham, Birmingham, AL, USA.
  • Cuadros J; Meredith Morgan Optometric Eye Center, University of California, Berkeley, Berkeley, CA, USA.
  • Espinoza JC; Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA.
  • Kleinberg S; Stevens Institute of Technology, Hoboken, NJ, USA.
  • Mathioudakis N; Johns Hopkins University, Baltimore, MD, USA.
  • Swerdlow MA; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Klonoff DC; Diabetes Technology Society, Burlingame, CA, USA.
J Diabetes Sci Technol ; 17(1): 224-238, 2023 01.
Article em En | MEDLINE | ID: mdl-36121302
ABSTRACT
Artificial intelligence can use real-world data to create models capable of making predictions and medical diagnosis for diabetes and its complications. The aim of this commentary article is to provide a general perspective and present recent advances on how artificial intelligence can be applied to improve the prediction and diagnosis of six significant complications of diabetes including (1) gestational diabetes, (2) hypoglycemia in the hospital, (3) diabetic retinopathy, (4) diabetic foot ulcers, (5) diabetic peripheral neuropathy, and (6) diabetic nephropathy.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pé Diabético / Diabetes Mellitus / Nefropatias Diabéticas / Neuropatias Diabéticas / Retinopatia Diabética Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Diabetes Sci Technol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pé Diabético / Diabetes Mellitus / Nefropatias Diabéticas / Neuropatias Diabéticas / Retinopatia Diabética Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Diabetes Sci Technol Assunto da revista: ENDOCRINOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos