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Application of Artificial Intelligence in Measuring Novel pH-Impedance Metrics for Optimal Diagnosis of GERD.
Wong, Ming-Wun; Rogers, Benjamin D; Liu, Min-Xiang; Lei, Wei-Yi; Liu, Tso-Tsai; Yi, Chih-Hsun; Hung, Jui-Sheng; Liang, Shu-Wei; Tseng, Chiu-Wang; Wang, Jen-Hung; Wu, Ping-An; Chen, Chien-Lin.
Afiliação
  • Wong MW; Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, 707, Section 3, Chung-Yang Road, Hualien 97004, Taiwan.
  • Rogers BD; School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien 97004, Taiwan.
  • Liu MX; Division of Gastroenterology, Hepatology and Nutrition, University of Louisville, Louisville, KY 40292, USA.
  • Lei WY; Division of Gastroenterology, Washington University School of Medicine, St. Louis, MO 63110, USA.
  • Liu TT; AI Innovation Research Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97004, Taiwan.
  • Yi CH; Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, 707, Section 3, Chung-Yang Road, Hualien 97004, Taiwan.
  • Hung JS; Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, 707, Section 3, Chung-Yang Road, Hualien 97004, Taiwan.
  • Liang SW; Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, 707, Section 3, Chung-Yang Road, Hualien 97004, Taiwan.
  • Tseng CW; Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, 707, Section 3, Chung-Yang Road, Hualien 97004, Taiwan.
  • Wang JH; Department of Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Tzu Chi University, 707, Section 3, Chung-Yang Road, Hualien 97004, Taiwan.
  • Wu PA; NVIDIA AI Technology Center, NVIDIA Corporation, Taipei 11492, Taiwan.
  • Chen CL; Department of Medical Research, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien 97004, Taiwan.
Diagnostics (Basel) ; 13(5)2023 Mar 03.
Article em En | MEDLINE | ID: mdl-36900104
ABSTRACT
Novel metrics extracted from pH-impedance monitoring can augment the diagnosis of gastroesophageal reflux disease (GERD). Artificial intelligence (AI) is being widely used to improve the diagnostic capabilities of various diseases. In this review, we update the current literature regarding applications of artificial intelligence in measuring novel pH-impedance metrics. AI demonstrates high performance in the measurement of impedance metrics, including numbers of reflux episodes and post-reflux swallow-induced peristaltic wave index and, furthermore, extracts baseline impedance from the entire pH-impedance study. AI is expected to play a reliable role in facilitating measuring novel impedance metrics in patients with GERD in the near future.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article