Latest AI and machine learning research in gastroenterology for healthcare professionals.
BACKGROUND: Anastomotic leakage (AL) remains a major complication after colorectal cancer surgery (CCS). Intraoperative indocyanine green (ICG) fluorescence angiography is widely used to assess bowel perfusion, but interpretation is largely subjective. Quantitative analysis of fluorescence kinetics combined with machine learning (ML) may enable more objective, physiology-based risk stratification....
Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching, intraoperative management, and post-transplant care. Historically, applications have relied on traditional machine learning (ML) and deep learning (DL) techniques trained on structured clinical datasets to improve risk stratification and outcome pr...
BACKGROUND: Colorectal cancer (CRC) is a leading cause of mortality worldwide, and early examination via colonoscopy is increasingly used to prevent C...
Clinical MR elastography (MRE) typically requires acquisition of four vibration phase images synchronized with external vibrations, prolonging acquisi...
BACKGROUND: The global incidence of early-onset hepatocellular carcinoma (eHCC) is increasing significantly; however, specific risk prediction tools f...
Mass spectrometry imaging (MSI) has emerged as a transformative technology in pharmaceutical research, offering unprecedented capabilities to visualiz...
The appropriate use of temporary diverting ileostomy (TDI) in rectal cancer surgery lacks standardized criteria. A randomized controlled trial was per...
Drug discovery pipelines face persistent challenges, as candidates that show promising results in early laboratory studies are found ineffective in cl...
Pregnane X receptor (PXR), a nuclear receptor superfamily member, maintains bile acid homeostasis by regulating metabolic enzymes [e.g., cytochrome P4...
BACKGROUND: Predicting pathological response to neoadjuvant chemotherapy combined with immunotherapy (NACI) in locally advanced gastric cancer (LAGC) ...
Gastric cancer (GC) remains a critical burden on healthcare, affecting millions of people annually. Helicobacter pylori infection is a critical contri...
BACKGROUND: Vesicoureteral reflux (VUR) is a common urological disorder in children. To date, VUR severity is assessed by grading, and contemporary mo...
BACKGROUND: The efficacy of deep learning-based artificial intelligence segmentation (AI-seg) in 177Lu-DOTATATE dosimetry remains underexplored. This ...
BACKGROUND: Artificial intelligence (AI) is transforming inflammatory bowel disease (IBD) care, but concerns over data quality, privacy, and provider ...
BACKGROUND: Kinesin family member 23 (KIF23) is a microtubule-dependent motor protein essential for cytokinesis, organelle transport, and signaling pa...
Hepatocellular carcinoma (HCC) remains a highly malignant cancer with limited treatment options. HCC cells (HCCs) activate hepatic stellate cells (HSC...
Transcriptional regulators reflect cellular heterogeneity and are key for prognostic modeling. Given the poor prognosis of stomach adenocarcinoma (STA...
BACKGROUNDS: Colonoscopy plays a crucial role in preventing the malignant transformation of colorectal polyps, with early diagnosis and detection of c...
BACKGROUND: Accurate staging of lymph node metastasis (LNM) is crucial for personalising rectal cancer treatment. Lymph nodes (LNs) are the most commo...
BACKGROUND: Gastric cancer remains one of the most prevalent malignancies globally. As early-stage gastric cancer is typically asymptomatic or present...