Gastroenterology

Real-world clinical impact of implementing and updating a deep learning-based automatic contouring system in rectal cancer radiotherapy.

BACKGROUND: Accurate delineation of target volumes and organs-at-risk (OARs) is a critical yet labor...

Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer Risk.

BACKGROUND: Family history of pancreatic cancer (PC), pathogenic germline variants (PGVs), and incre...

Unsupervised Ensemble Learning for Active Drug-Induced Liver Injury Surveillance: Integrating Pharmacokinetic Burden With Enzyme Trajectories.

PURPOSE: Traditional drug-induced liver injury (DILI) surveillance relying on static laboratory thre...

Multi-modal direct LINAC parameter prediction for pancreatic VMAT: An optimization-free approach.

BACKGROUND: Pancreatic cancer Volumetric Modulated Arc Therapy (VMAT) planning presents a significan...

The Evolution and Global Impact of Uniportal Endoscopic Spine Surgery : A Korean Perspective and Historical Legacy.

Uniportal full-endoscopic spine surgery (FESS) has expanded over three decades from percutaneous dis...

Artificial intelligence-assisted histopathological diagnosis of endocervical gastric-type adenocarcinoma: a multicenter model development and validation study.

Endocervical gastric-type adenocarcinoma (GAS) is one of the most aggressive subtypes of cervical ca...

Leveraging serum CHI3L1 and machine learning for non-invasive liver fibrosis diagnostics.

This study was aimed to develop non-invasive liver fibrosis diagnostic model using chitinase 3-like ...

Noninvasive Classification of Advanced Liver Fibrosis Using Clinical Data and Non-Contrast MRI: Fusion of Clinical, Radiomic, and Deep Learning Models.

Noninvasive identification of advanced liver fibrosis (ALF), commonly defined as Scheuer stage S3 or...

High-resolution 3D micro-CT reveals an additional muscle layer in esophageal atresia.

BACKGROUND: Esophageal atresia (EA) is a congenital malformation intrinsically associated with esoph...

Letter to Editor regarding: "Development and validation of a machine-learning model for preoperative risk of gastric gastrointestinal stromal tumors".

[Advances and prospects of hemostatic strategies in hepatic surgery].

The liver is characterized by abundant blood supply and intricate anatomical architecture,rendering ...

[Cognitive reshaping and systemic reconstruction of liver surgery empowered by digital intelligence].

In recent years, a cluster of digital intelligence technologies, represented by artificial intellige...

A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models.

The hepatitis C virus is a significant global health concern and a major cause of chronic liver dise...

Glucose-to-albumin ratio and mortality in ICU patients with acute pancreatitis.

OBJECTIVES: Acute pancreatitis (AP) carries a high mortality risk in ICU patients. The glucose-to-al...

Prognostic Models and Predictors of Recurrence in Resectable Colorectal Liver Metastases: A Systematic Review and Meta-analysis.

We systematically reviewed prognostic models for recurrence after curative-intent locoregional treat...

Artificial intelligence in Latin American hepatology: current evidence, implementation barriers, and strategic priorities.

Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven b...

Clinical and Metabolomic Panel for Noninvasive Screening of Biopsy-Confirmed MASH in Children and Adolescents.

BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohe...

Pooled two-cohort MRI body composition phenotyping with open-source deep learning.

BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determine...

Risk Assessment in MASLD and MetALD: Current Approaches and Future Directions.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction and alcoh...

Quality, transparency, and readability of AI chatbot responses for patient counseling in robot-assisted colorectal cancer resection: a cross-sectional evaluation.

Robot-assisted colorectal cancer resection (RACR) has emerged as a preferred surgical approach for m...

Eliminating Registration Bias in Synthetic CT Generation using a physics-based simulation framework for pelvic anatomy.

Supervised synthetic computed tomography (sCT) generation from cone-beam CT (CBCT) requires spatiall...