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Review
. 2023 Mar 3;13(5):960.
doi: 10.3390/diagnostics13050960.

Application of Artificial Intelligence in Measuring Novel pH-Impedance Metrics for Optimal Diagnosis of GERD

Ming-Wun Wong  1   2 , Benjamin D Rogers  3   4 , Min-Xiang Liu  5 , Wei-Yi Lei  1 , Tso-Tsai Liu  1 , Chih-Hsun Yi  1 , Jui-Sheng Hung  1 , Shu-Wei Liang  1 , Chiu-Wang Tseng  6 , Jen-Hung Wang  7 , Ping-An Wu  5 , Chien-Lin Chen  1   8
Affiliations
Review

Application of Artificial Intelligence in Measuring Novel pH-Impedance Metrics for Optimal Diagnosis of GERD

Ming-Wun Wong et al. Diagnostics (Basel). .

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.

Keywords: artificial intelligence; gastroesophageal reflux disease; impedance-pH monitoring; post-reflux swallow-induced peristaltic wave index; reflux episodes.

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Conflict of interest statement

The authors declare no conflict of interest.

References

    1. El-Serag H.B., Sweet S., Winchester C.C., Dent J. Update on the epidemiology of gastro-oesophageal reflux disease: A systematic review. Gut. 2014;63:871–880. doi: 10.1136/gutjnl-2012-304269. - DOI - PMC - PubMed
    1. Savarino E., Zentilin P., Savarino V. NERD: An umbrella term including heterogeneous subpopulations. Nat. Rev. Gastroenterol. Hepatol. 2013;10:371–380. doi: 10.1038/nrgastro.2013.50. - DOI - PubMed
    1. Yadlapati R., Masihi M., Gyawali C.P., Carlson D.A., Kahrilas P.J., Nix B.D., Jain A., Triggs J.R., Vaezi M.F., Kia L., et al. Ambulatory Reflux Monitoring Guides Proton Pump Inhibitor Discontinuation in Patients With Gastroesophageal Reflux Symptoms: A Clinical Trial. Gastroenterology. 2021;160:174–182.e1. doi: 10.1053/j.gastro.2020.09.013. - DOI - PMC - PubMed
    1. Pauwels A., Boecxstaens V., Andrews C.N., Attwood S.E., Berrisford R., Bisschops R., Boeckxstaens G.E., Bor S., Bredenoord A.J., Cicala M., et al. How to select patients for antireflux surgery? The ICARUS guidelines (international consensus regarding preoperative examinations and clinical characteristics assessment to select adult patients for antireflux surgery) Gut. 2019;68:1928–1941. doi: 10.1136/gutjnl-2019-318260. - DOI - PubMed
    1. Roman S., Gyawali C.P., Savarino E., Yadlapati R., Zerbib F., Wu J., Vela M., Tutuian R., Tatum R., Sifrim D., et al. Ambulatory reflux monitoring for diagnosis of gastro-esophageal reflux disease: Update of the Porto consensus and recommendations from an international consensus group. Neurogastroenterol. Motil. 2017;29:1–15. doi: 10.1111/nmo.13067. - DOI - PubMed

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