Kalo, Eric, Read, Scott, George, Jacob, Majumdar, Avik, and Ahlenstiel, Golo (2025) Can Artificial Intelligence and Machine Learning Transform Prediction and Treatment of Post-Transjugular Intrahepatic Portosystemic Shunt (TIPS) Overt Hepatic Encephalopathy? Gastro Hep Advances, 4 (2). 100560.

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Abstract

[Extract] Over the past decade, artificial computational systems in particular artificial intelligence (AI) and derived technologies have become increasingly integrated into clinical practice, revolutionizing care, outperforming/surpassing humans for certain medical tasks, and driving precision and personalized medicine. This transformation has accelerated with the launch of platforms such as “Chat-GPT” that opened new avenues for the implementation of AI systems into clinical practice.

Item ID:	86117
Item Type:	Article (Commentary)
ISSN:	2772-5723
Copyright Information:	Crown Copyright © 2025 Published by Elsevier Inc. on behalf of the AGA Institute. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Funders:	This work has been supported by the Storr Liver Bequest to the Univeristy of Sydney and the Ainsworth Bequest to Western Sydney University.
Date Deposited:	29 Jul 2025 22:20
FoR Codes:	32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320209 Gastroenterology and hepatology @ 50% 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 30% 32 BIOMEDICAL AND CLINICAL SCIENCES > 3202 Clinical sciences > 320222 Radiology and organ imaging @ 20%
SEO Codes:	20 HEALTH > 2001 Clinical health > 200104 Prevention of human diseases and conditions @ 40% 20 HEALTH > 2001 Clinical health > 200101 Diagnosis of human diseases and conditions @ 50% 20 HEALTH > 2003 Provision of health and support services > 200304 Inpatient hospital care @ 10%
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