Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis.
artificial intelligence
covert hepatic encephalopathy
minimal hepatic encephalopathy
psychometric tests
Journal
Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269
Informations de publication
Date de publication:
26 Oct 2021
26 Oct 2021
Historique:
received:
26
08
2021
revised:
20
10
2021
accepted:
21
10
2021
entrez:
27
11
2021
pubmed:
28
11
2021
medline:
28
11
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34834442
pii: jpm11111090
doi: 10.3390/jpm11111090
pmc: PMC8626051
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : Slovak Research Agency and Development Agency
ID : APVV-16-0211.
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