
AI extracts liver disease data from clinical text
A new study shows that off-the-shelf language models can reconstruct complex patient histories from messy clinical notes without manual human labeling.
Discover the newest research about AI innovations in π½οΈ Gastroenterology.

A new study shows that off-the-shelf language models can reconstruct complex patient histories from messy clinical notes without manual human labeling.

A new foundation model matches or beats human pathologists at grading ulcerative colitis biopsies, potentially solving the clinical trial replication crisis.

Good Hope Hospital adopts capsule endoscopy technology for small bowel exams. This innovation enhances patient comfort and diagnostic accuracy. πΈπ

AI surpasses traditional methods in classifying biliary strictures: 87.8% accuracy vs. 67.4%. Significant implications for patient care! π€π

AI transforms GI health: multimodal imaging, digital biomarkers, and real-time monitoring enhance assessment and management. ππ€

Radiomics & AI enhance tumor response prediction in GI neoplasms. Key findings: ORs range from 8.12 to 11.62. ππ
Nearly 1,000 participants joined the LiveWell Liver Study in under a year, utilizing NHS data for research. ππ©Ί

Large language models excel in multilingual colorectal cancer screening queries, scoring 4.1/5 in accuracy across 28 countries. ππ

Exploring AI’s role in managing Inflammatory Bowel Disease: insights from Shang et al.’s 2025 study. π€π

AI transforms gastroenterology training, enhancing skills and diagnostics. Key findings from 22 studies reveal significant advancements. ππ€