Latest AI and machine learning research in gastroenterology for healthcare professionals.
PURPOSE: To explore the relationship between thyroid-associated ophthalmopathy (TAO) and liver injur...
Timely and accurate detection of colorectal polyps plays an important role in the prevention and ear...
PURPOSE: Given the existing uncertainties regarding the link between Di(2-ethylhexyl) phthalate (DEH...
BACKGROUND: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, espec...
BACKGROUND: Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease often associ...
Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despit...
Targeted drug delivery in the gastrointestinal tract remains challenging because therapeutics must o...
Aluminum phosphide (AlP) is a chemical compound that is used as a pesticide for suicidal purposes an...
BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiothe...
Uveal melanoma is the most frequent primary intraocular malignancy in adults and is characterized by...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory an...
BACKGROUND AND AIMS: Healthcare administration accounts for approximately 25% of healthcare expendit...
OBJECTIVES: Great saphenous vein (GSV) incompetence is common, but numerous treatment options compli...
Perfluoroalkyl substances (PFASs) are known for their tendency to accumulate in the human liver, pot...
BACKGROUND & AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a complex, mu...
RATIONALE AND OBJECTIVES: MRI-proton density fat fraction (MRI-PDFF) is widely applied in clinical p...
Liver ischemia-reperfusion injury (LIRI), a significant complication following liver transplantation...
Ulcerative colitis (UC) is an inflammatory bowel disease involving complex interactions between gene...
PURPOSE OF REVIEW: Gastrointestinal (GI) cancers are among the most common malignancies worldwide an...
OBJECTIVE: Most hallucination mitigation for large language models (LLMs) operates post-hoc, leaving...
OBJECTIVES: To develop a generalizable framework for identifying algorithmic discrimination risks ar...