Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Exploiting pair correlation function to describe biological tissue structure

Multiplexed imaging technologies now enable the simultaneous profiling of hundreds to thousands of m...

Predicting ADC Map Quality from T2-Weighted MRI: A Deep Learning Approach for Early Quality Assessment to Assist Point-of-Care

Poor quality prostate MRI images, especially ADC maps, can lead to missed lesions and unnecessary re...

Development of a Claims-Based Computable Phenotype for Ulcerative Colitis Flares

Several conditions exist that do not have their own unique diagnosis code in widely-used clinical te...

Artificial Intelligence in Pancreatic Intraductal Papillary Mucinous Neoplasm Imaging: A Systematic Review

Based on the Fukuoka and Kyoto international consensus guidelines, the current clinical management o...

Comparative Analysis of Machine Learning Models for Cancer Diagnosis

Pancreatic cancer is one of the most deadly cancers, with early detection being critical for improvi...

Deep representation learning for clustering longitudinal survival data from electronic health records

Precision medicine requires accurate identification of clinically relevant patient subgroups. Electr...

Alterations in the hepatic microenvironment following direct-acting antiviral therapy for chronic hepatitis C

Background and aims. The first direct-acting antivirals (DAAs) to treat the viral hepatitis C (HCV) ...

Probing Large Language Model Hidden States for Adverse Drug Reaction Knowledge

Large language models (LLMs) integrate knowledge from diverse sources into a single set of internal ...

Galar - a large multi-label video capsule endoscopy dataset

Video capsule endoscopy (VCE) is an important technology with many advantages (non-invasive, represe...

RNAseq-Based Machine Learning Models for Prognostication of Multiple Myeloma

Multiple myeloma (MM) is characterized by abnormal plasma cell proliferation in the bone marrow, lea...

Pancreatic cancer risk prediction using deep sequential modeling of longitudinal diagnostic and medication records

Pancreatic ductal adenocarcinoma (PDAC) is a rare, aggressive cancer often diagnosed late with low s...

Comprehensive Evaluation of Human Donor Liver Viability with Polarization-Sensitive Optical Coherence Tomography

Human liver transplantation is severely constrained by a critical shortage of donor livers, with app...

Predicting the stage of gastric cancer after gastrectomy based on machine learning algorithms

Gastric cancer (GC) is the fourth most common cause of cancer death worldwide, with a 5-year surviva...

AI portal tract detection and characterisation for a regional analysis of steatosis and inflammation in MASLD, MASH, and AIH

Annotation of liver biopsies, for disease staging is increasingly aided by digital pathology, howeve...

Deep learning predicts onset acceleration of 38 age-associated diseases from blood and body composition biomarkers in the UK Biobank

A major challenge in multimorbid aging is understanding how diseases co-occur and identifying high-r...

Large language models for extracting histopathologic diagnoses of colorectal cancer and dysplasia from electronic health records

Accurate data resources are essential for impactful medical research, but available structured datas...

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