Gastroenterology

Application of artificial intelligence in colonoscopy imaging for polyp analysis-A systematic review.

The colon is a major component of the digestive system, so early detection of colorectal polyps is essential in preventing colorectal cancer, which is a leading cause of cancer-related death worldwide. While colonoscopy remains the gold standard for polyp detection, its diagnostic accuracy is highly operator-dependent. Recent advances in Deep Learning (DL), a branch of Artificial Intelligence (AI)...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome editing, with lipid nanoparticles (LNPs) as the main non-viral delivery system. This review defines programmable LNPs as systems whose composition and interfacial chemistry are tuned to control organ tropism, cell specificity, intracellular trafficking, ...

A multicenter multinational retrospective study of the 1-year natural history of LI-RADS 3 observations in patients with cirrhosis.

OBJECTIVES: To assess the 1-year natural history of liver imaging reporting and data system (LI-RADS) 3 observations on contrast-enhanced MRI in cirrh...

Development and validation of A CCTA-based risk prediction model for major adverse cardiovascular events in esophageal cancer patients receiving radiotherapy.

BACKGROUND AND PURPOSE: Major adverse cardiovascular events (MACEs) remain a significant concern in esophageal cancer (EC) patients receiving radiothe...

Single-cell and machine learning-based analysis of the molecular mechanism of Banxia Xiexin Decoction in the treatment of gastric cancer.

UNLABELLED: Gastric cancer (GC) is one of the most common malignant tumors worldwide. Banxia Xiexin Decoction (BXXXD) has a significant therapeutic ef...

FTIR spectroscopy combined with machine learning reveals molecular signatures distinguishing three phenotypes of endometriosis.

Endometriosis is a chronic inflammatory disorder in which endometrial tissue grows outside the uterus, leading to pelvic pain and infertility. It rema...

Altered gut microbiome function in ADHD: More Prevotella, less vitamin B12 biosynthesis, and beneficial modulation by synbiotic treatment.

The effect of psychostimulant medication in ADHD on the gut microbiome remains unknown. Oral Synbiotic 2000, comprising multiple lactic acid bacteria ...

Mechanistic evidence for dibutyl phthalate as an environmental trigger for inflammatory bowel disease.

Dibutyl phthalate (DBP) is a ubiquitous pollutant, but its molecular link to inflammatory bowel disease (IBD) is undefined. We employed an integrative...

Magnetically Driven Lasing Microrobots for Precise Photodynamic Therapy.

Photodynamic therapy (PDT) is an emerging approach for tumor treatment, valued for its noninvasive and stimuli-responsive properties. However, its the...

Aucklandia lappa, Vladimiria souliei, and Inula helenium: A comprehensive review on the ethnomedicines, phytochemicals, quality control and pharmacology of three confusable Muxiang varieties (2015-2025).

ETHNOPHARMACOLOGICAL RELEVANCE: The dried roots of Aucklandia lappa (Mu-Xiang), Vladimiria souliei (Chuan-Mu-Xiang), and Inula helenium (Tu-Mu-Xiang),...

A machine learning-driven app for predicting the need for post-operative respiratory support in liver transplant recipients.

BACKGROUNDS: Liver transplantation (LT) is a life-saving procedure for patients with end-stage liver disease, yet post-operative complications, partic...

Liver cancer segmentator: Metadata-guided confidence scoring for reliable segmentation of colorectal liver metastases in CT.

BACKGROUND AND OBJECTIVE: This study introduces the liver cancer segmentator (LCS), a deep learning model designed for automatic and robust segmentati...

Deep learning image reconstruction improves 40 keV virtual monoenergetic image quality in rectal cancer.

BACKGROUND: Accurate preoperative evaluation of rectal cancer is essential for staging and treatment planning. Low-energy virtual monoenergetic imagin...

Construction and validation of a screening model for minimal hepatic encephalopathy in patients with cirrhosis: A multi-center study.

BACKGROUND: Clinical practice currently lacks objective and accurate screening tools for minimal hepatic encephalopathy (MHE). Therefore, we aimed to ...

Imaging Evaluation for Steatotic Liver Disease.

Metabolic dysfunction-associated steatotic liver disease (MASLD), previously known as nonalcoholic fatty liver disease, is the fastest-growing cause o...

Acceleration of chemical shift encoding-based water-fat imaging for pancreatic proton density fat fraction mapping in a single breath-hold: Data from the LION study.

PURPOSE: With the rising prevalence of obesity and metabolic syndrome, there is an increasing need for noninvasive quantification of pancreatic fat as...

Preoperative prediction of lymph node metastasis and prognosis in gastric cancer patients: A machine learning model based on 18F-FDG metabolic parameters.

OBJECTIVE: To construct and validate a model for predicting lymph node metastasis (LNMs) of gastric cancer (GC) based on 18F-FDG PET/CT multi-paramete...

Metabolic-immune interactions in gastric cancer T cells: A single-cell atlas for prognostic biomarker identification.

Metabolic alterations and immune dysfunction within the gastric tumor microenvironment critically drive gastric cancer (GC) progression and therapeuti...

UDV-Net: A hybrid CNN and transformer vein segmentation network with vascular prior and spatial awareness.

CNNs handling multi-scale variations and Transformers modeling long-range dependencies are crucial for vascular segmentation. The fusion of these two ...

Instantaneous Abdominal T2* Mapping via Single-Shot MOLED Under Free-Breathing: A Preliminary Study of Hepatic Glycometabolism Imaging.

PURPOSE: To propose a gradient-echo multiple overlapping-echo detachment (GRE-MOLED) method for rapid abdominal T2* mapping, and to systematically val...