Application of artificial intelligence to gastroenterology and hepatology

C Le Berre, WJ Sandborn, S Aridhi, MD Devignes… - Gastroenterology, 2020‏ - Elsevier
Since 2010, substantial progress has been made in artificial intelligence (AI) and its
application to medicine. AI is explored in gastroenterology for endoscopic analysis of …

Artificial intelligence in gastroenterology: A state-of-the-art review

PT Kröner, MML Engels, BS Glicksberg… - World journal of …, 2021‏ - pmc.ncbi.nlm.nih.gov
The development of artificial intelligence (AI) has increased dramatically in the last 20 years,
with clinical applications progressively being explored for most of the medical specialties …

Application of artificial intelligence for the diagnosis and treatment of liver diseases

JC Ahn, A Connell, DA Simonetto, C Hughes… - …, 2021‏ - Wiley Online Library
Modern medical care produces large volumes of multimodal patient data, which many
clinicians struggle to process and synthesize into actionable knowledge. In recent years …

HLA‐B* 35: 01 and green tea–induced liver injury

JH Hoofnagle, HL Bonkovsky, EJ Phillips, YJ Li… - …, 2021‏ - Wiley Online Library
Background and Aims Herbal supplements, and particularly multi‐ingredient products, have
become increasingly common causes of acute liver injury. Green tea is a frequent …

The GALAD scoring algorithm based on AFP, AFP-L3, and DCP significantly improves detection of BCLC early stage hepatocellular carcinoma

J Best, H Bilgi, D Heider, C Schotten… - Zeitschrift für …, 2016‏ - thieme-connect.com
Background: Hepatocellular carcinoma (HCC) is one of the leading causes of death in
cirrhotic patients worldwide. The detection rate for early stage HCC remains low despite …

Artificial intelligence in prediction of non‐alcoholic fatty liver disease and fibrosis

GLH Wong, PC Yuen, AJ Ma… - Journal of …, 2021‏ - Wiley Online Library
Artificial intelligence (AI) has become increasingly widespread in our daily lives, including
healthcare applications. AI has brought many new insights into better ways we care for our …

Hyaluronic acid as a non-invasive biomarker of liver fibrosis

MG Neuman, LB Cohen, RM Nanau - Clinical biochemistry, 2016‏ - Elsevier
Chronic liver diseases may cause inflammation and progressive scarring, over time leading
to irreversible hepatic damage (cirrhosis). As a result, the need to assess and closely …

Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology

CD Christou, G Tsoulfas - World journal of gastroenterology, 2021‏ - pmc.ncbi.nlm.nih.gov
Artificial intelligence (AI) is an umbrella term used to describe a cluster of interrelated fields.
Machine learning (ML) refers to a model that learns from past data to predict future data …

A comparison of rule-based and machine learning approaches for classifying patient portal messages

RM Cronin, D Fabbri, JC Denny… - International journal of …, 2017‏ - Elsevier
Objective Secure messaging through patient portals is an increasingly popular way that
consumers interact with healthcare providers. The increasing burden of secure messaging …

Normal liver enzymes are correlated with severity of metabolic syndrome in a large population based cohort

J Kälsch, LP Bechmann, D Heider, J Best, P Manka… - Scientific reports, 2015‏ - nature.com
Key features of the metabolic syndrome are insulin resistance and diabetes. The liver as
central metabolic organ is not only affected by the metabolic syndrome as non-alcoholic fatty …