Gastroenterology

Salvianolic acid C attenuates liver fibrosis and inhibites hepatic stellate cell activation by targeting FAP/TβRI/SMAD axis.

BACKGROUND: Liver fibrosis remains a major clinical challenge with limited effective therapeutic opt...

Artificial Intelligence-Assisted Anatomical Recognition System-Guided Robotic Total Mesorectal Excision and Autonomic Nerve Preservation for Rectal Neuroendocrine Tumor.

Taiwan Academy of Tumor Ablation (TATA) consensus on hepatocellular carcinoma ablation.

Hepatocellular carcinoma (HCC) ranks sixth in incidence and third in mortality worldwide, underscori...

Artificial Intelligence for Single-Image Diagnosis of Autoimmune Gastritis Using Gastric Corpus Atrophy Images: A Multicenter Retrospective Diagnostic Study.

BACKGROUND AND AIMS: Endoscopic differentiation between autoimmune gastritis (AIG) and Helicobacter ...

Distinction between primary and metastatic mucinous ovarian carcinoma from histopathology images using deep learning.

Accurately distinguishing between primary and gastrointestinal metastatic mucinous ovarian carcinoma...

The prognostic value of the PALBI score for mortality prediction in stroke: an internal and external validation study.

Recent studies show that there's a link between liver problems and how well someone does after havin...

Environmental PET-microplastic exposure and risk of non-alcoholic fatty liver disease: An integrated computational toxicology and multi-omics study.

The escalating severity of global microplastic pollution has triggered significant public health con...

Development and validation of nomogram about conversion from temporary to permanent stoma in rectal cancer based on machine learning and traditional model-does robotic surgery have competitive advantages?

Machine learning prediction of metabolic-associated fatty liver disease in type 2 diabetes: Emphasizing data imputation and feature selection.

Metabolic-Associated Fatty Liver Disease (MAFLD) is common among Type 2 Diabetes (T2DM) patients. Th...

Utility of breath-hold half-Fourier single-shot turbo spin-echo with deep learning-based reconstruction for acquiring fat-suppressed T2-weighted images of the pancreas.

PURPOSE: To determine the best technique for acquiring fat-suppressed T2-weighted images (FS-T2WI) o...

Long-term capsaicin intake and gut inflammation: microbial alterations, metabolic mechanisms, and intervention effects.

The effects of capsaicin consumption on gut health and its mechanisms remain uncharacterized. This s...

Familial colorectal cancer: risk factors, screening strategies and personalized medicine.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approxim...

Content-state-driven motility switching in an intestine-inspired soft-bodied robot via decentralised oscillator networks.

Adaptive handling of thick or composition-changing fluids is difficult for conventional pumps. In an...

Integrating B-mode ultrasound radiomics and clinical variables to predict 26-week progression-free survival in advanced hepatocellular carcinoma under targeted immunotherapy.

BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related mortality gl...

Comparison of respiratory-gated and breath‑hold accelerated T2-weighted sequences for liver MRI with deep learning reconstruction.

BACKGROUND: T2-weighted imaging (T2WI) of the liver suffers from prolonged scan times and respirator...

Navigated hepatic tumor resection using intraoperative ultrasound imaging.

PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based n...

Evaluation of GPT-5 for Esophageal Cancer Staging Using Fluorodeoxyglucose Positron Emission Tomography Maximum-Intensity Projection Images: Comparative Pilot Study.

BACKGROUND: Accurate esophageal cancer staging relies on 18F fluorodeoxyglucose positron emission to...

AI-Driven Patient Screening for Clinical Trials in Pancreatic Cancer: The PANCR-AI Pilot Retrospective Comparative Study.

BACKGROUND: Screening for clinical trials is challenging for clinicians due to its time-consuming an...

Influence of sex differences among endoscopists in gastric cancer and precancerous condition detection rate during EGD in the artificial intelligence era: a retrospective study.

AIMS: This study investigated whether endoscopist sex is associated with the detection of gastric pr...

CT-derived sarcopenia and myosteatosis predict treatment escalation in hospitalized patients with inflammatory Bowel disease.

BACKGROUND: Sarcopenia and myosteatosis reflect muscle quantity and quality and are linked to advers...

Artificial intelligence for the prediction of synchronous and metachronous liver metastasis in colorectal cancer patients: a systematic review and meta-analysis.

BACKGROUND: Colorectal cancer (CRC) is the third most common cancer and the second leading cause of ...