Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis
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 subtl...
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2021
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oai:doaj.org-article:65b2a1f64cdc46ffa7976279413932b62021-11-25T18:07:04ZArtificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis10.3390/jpm111110902075-4426https://doaj.org/article/65b2a1f64cdc46ffa7976279413932b62021-10-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1090https://doaj.org/toc/2075-4426Hepatic 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.Jakub GazdaPeter DrotarSylvia DrazilovaJuraj GazdaMatej GazdaMartin JanickoPeter JarcuskaMDPI AGarticleartificial intelligencepsychometric testsminimal hepatic encephalopathycovert hepatic encephalopathyMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1090, p 1090 (2021) |
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artificial intelligence psychometric tests minimal hepatic encephalopathy covert hepatic encephalopathy Medicine R |
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artificial intelligence psychometric tests minimal hepatic encephalopathy covert hepatic encephalopathy Medicine R Jakub Gazda Peter Drotar Sylvia Drazilova Juraj Gazda Matej Gazda Martin Janicko Peter Jarcuska Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis |
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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. |
format |
article |
author |
Jakub Gazda Peter Drotar Sylvia Drazilova Juraj Gazda Matej Gazda Martin Janicko Peter Jarcuska |
author_facet |
Jakub Gazda Peter Drotar Sylvia Drazilova Juraj Gazda Matej Gazda Martin Janicko Peter Jarcuska |
author_sort |
Jakub Gazda |
title |
Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis |
title_short |
Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis |
title_full |
Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis |
title_fullStr |
Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis |
title_full_unstemmed |
Artificial Intelligence and Its Application to Minimal Hepatic Encephalopathy Diagnosis |
title_sort |
artificial intelligence and its application to minimal hepatic encephalopathy diagnosis |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/65b2a1f64cdc46ffa7976279413932b6 |
work_keys_str_mv |
AT jakubgazda artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis AT peterdrotar artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis AT sylviadrazilova artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis AT jurajgazda artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis AT matejgazda artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis AT martinjanicko artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis AT peterjarcuska artificialintelligenceanditsapplicationtominimalhepaticencephalopathydiagnosis |
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