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Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis.

Authors :
Gazda, Jakub
Drotar, Peter
Drazilova, Sylvia
Gazda, Juraj
Gazda, Matej
Janicko, Martin
Jarcuska, Peter
Source :
Journal of Personalized Medicine; Nov2021, Vol. 11 Issue 11, p1090-1090, 1p
Publication Year :
2021

Abstract

Hepatic encephalopathy (HE) is a brain dysfunction caused by liver insufficiency and/or portosystemic shunting. HE manifests as a spectrum of neurological or psychiatric abnormalities. Diagnosis of overt HE (OHE) is based on the typical clinical manifestation, but covert HE (CHE) has only very subtle clinical signs and minimal HE (MHE) is detected only by specialized time-consuming psychometric tests, for which there is still no universally accepted gold standard. Significant progress has been made in artificial intelligence and its application to medicine. In this review, we introduce how artificial intelligence has been used to diagnose minimal hepatic encephalopathy thus far, and we discuss its further potential in analyzing speech and handwriting data, which are probably the most accessible data for evaluating the cognitive state of the patient. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20754426
Volume :
11
Issue :
11
Database :
Complementary Index
Journal :
Journal of Personalized Medicine
Publication Type :
Academic Journal
Accession number :
153896471
Full Text :
https://doi.org/10.3390/jpm11111090