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Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography.
Kwon, Joon-Myoung; Kim, Kyung-Hee; Jo, Yong-Yeon; Jung, Min-Seung; Cho, Yong-Hyeon; Shin, Jae-Hyun; Lee, Yoon-Ji; Ban, Jang-Hyeon; Lee, Soo Youn; Park, Jinsik; Oh, Byung-Hee.
Afiliação
  • Kwon JM; Medical Research Team, Medical AI, co., Seoul, South Korea. happywithhj@gmail.com.
  • Kim KH; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, South Korea. happywithhj@gmail.com.
  • Jo YY; Medical R&D Center, Body Friend, co, Seoul, South Korea. happywithhj@gmail.com.
  • Jung MS; Department of Critical Care and Emergency Medicine, Incheon Sejong Hospital, 20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea. happywithhj@gmail.com.
  • Cho YH; Artificial Intelligence and Big Data Research Center, Sejong Medical Research Institute, Bucheon, South Korea. learnbyliving9@gmail.com.
  • Shin JH; Division of Cardiology, Department of Internal Medicine, Incheon Sejong Hospital, Cardiovascular Center20, Gyeyangmunhwa-ro, Gyeyang-gu, Incheon, Republic of Korea. learnbyliving9@gmail.com.
  • Lee YJ; Medical Research Team, Medical AI, co., Seoul, South Korea.
  • Ban JH; Medical Research Team, Medical AI, co., Seoul, South Korea.
  • Lee SY; Medical Research Team, Medical AI, co., Seoul, South Korea.
  • Park J; Medical Research Team, Medical AI, co., Seoul, South Korea.
  • Oh BH; Medical Research Team, Medical AI, co., Seoul, South Korea.
Int Urol Nephrol ; 54(10): 2733-2744, 2022 Oct.
Article em En | MEDLINE | ID: mdl-35403974
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Insuficiência Renal Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Insuficiência Renal Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article