Gastroenterology

Overcoming cancer resistance in pancreatic cancer: toward dynamic precision oncology.

Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal malignancy, largely because of its p...

Gastric mucosa intestinal metaplasia segmentation and grading via transformer-CNN fusion architecture: an interpretable digital pathology diagnostic framework.

Intestinal metaplasia (IM) is a critical stage in the precancerous lesions of gastric cancer, and it...

Deep learning-based CT model for non-invasive prediction of tertiary lymphoid structures in pancreatic cancer: a multicenter study with prospective validation in an immunochemotherapy cohort.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies. Ter...

The Landmark Series: Mutation-Based Therapy of Pancreatic Cancer.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains a highly lethal malignancy with limited ...

Artificial intelligence-guided discovery of fungal ergosterol derivatives as selective LXRβ agonists targeting the cholesterol dependency of glioblastoma.

Glioblastoma (GBM) is the most lethal primary brain malignancy, for which no new systemic therapy ha...

Real-time AI assistance improves adherence to standardized biliopancreatic EUS examination: a real-world comparative study.

BACKGROUND: Biliopancreatic endoscopic ultrasound (EUS) is highly operator-dependent, and adherence ...

Identification of COPZ1 as a Shared Candidate Ferroptosis-Related Hub Gene in Periodontitis and Inflammatory Bowel Disease.

Clinical and epidemiological evidence demonstrates a robust bidirectional link between inflammatory ...

Deep learning-based segmentation and detection of focal liver lesions on multi-sequence non-contrast MRI.

PURPOSE: To evaluate the performance of a deep learning-based artificial intelligence (AI) model for...

Minimally invasive liver transplantation: technical evolution, evidence maturity, and translational boundaries.

Liver transplantation is an established treatment for end-stage liver disease and selected hepatic m...

GENERATIVE AI FOR HIRSCHSPRUNG DISEASE: CAN SYNTHETIC FLUORESCENCE CONFOCAL MICROSCOPY IMAGES ENHANCE INTRAOPERATIVE DETECTION OF GANGLIONIC BOWEL?

BACKGROUND: Accurate identification of ganglionated bowel is essential during laparoscopic pull-thro...

Pretherapeutic radiological sarcopenia in pancreatic ductal adenocarcinoma: a narrative review.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the deadliest solid malignancies despite adva...

Association of AI-derived abdominal organ volumetry with postoperative outcomes in clear cell renal cell carcinoma: a multicentre study.

BACKGROUND: CT-derived body composition parameters are associated with clinical outcomes in clear ce...

Multi-database pharmacovigilance identifies disproportionate reporting of hepatobiliary events with avacopan: an integrative study with network pharmacology and interpretable machine learning.

Avacopan is an oral C5a receptor antagonist approved for severe active granulomatosis with polyangii...

Biomarker discovery and patient stratification in pancreatic cancer using incomplete multi-omics data.

Pancreatic ductal adenocarcinoma (PDAC), with a 12% 5-year survival rate, is the most aggressive typ...

Development and Usability Assessment of a Health Education Conversational Agent for Patients With Gastric Cancer: Action Research Study.

BACKGROUND: To provide patients with gastric cancer with adequate health education information for e...

Artificial intelligence-assisted endoscopic ultrasonography for the detection of a small T1 pancreatic ductal adenocarcinoma in a difficult-to-puncture location.

Cross-modal interactive fusion framework for preoperative histological grading of hepatocellular carcinoma.

Purpose ： Deep learning has shown great promise in medical image analysis, yet challenges remain in ...

Decoding spatiotemporal fibrotic and cellular immunosuppression of therapeutic T cells in live pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDA) is profoundly immunosuppressive. To help define this behavior...

Artificial intelligence-based virtual iodine staining model for esophageal squamous cell carcinoma: a multicenter proof-of-concept study.

BACKGROUND: Early detection of esophageal squamous cell carcinoma (ESCC) is critical, but Lugol chro...

Concordance Between a Generative Artificial Intelligence Model and a Hepatobiliary Multidisciplinary Team in Hepatocellular Carcinoma Management: A Retrospective Study.

BACKGROUND: The management of hepatocellular carcinoma (HCC) relies on decisions formulated by a mul...

Deep Learning Segmentation of Abdominal Organs Across Ultrasound, MRI, and CT: A Scoping Review of Modality-Specific Approaches and the Emerging Role of Foundation Models and LLM-Based Agents.

Segmentation of the liver, kidneys, and pancreas underpins volumetry, treatment planning, and diseas...