Gastroenterology

BiGraph-DTA: Predicting drug-target interactions of hepatoprotective agents with graph convolutional networks.

Predicting drug-target affinity (DTA) is critical for discovering and developing hepatoprotective agents that can prevent and treat liver diseases. In this study, we propose BiGraph-DTA, a new predictive model for identifying DTA score prediction for hepatoprotective compounds by combining graph convolutional networks and bidirectional long short-term memory networks. This model is based on powerf...

Artificial intelligence-assisted biliary stent length selection for common bile duct strictures in endoscopic retrograde cholangiopancreatography: Model development and validation.

BACKGROUND: Biliary stent placement during endoscopic retrograde cholangiopancreatography (ERCP) is important for drainage in common bile duct (CBD) strictures, while the stent length is associated with many stent-related complications. We aimed to develop an artificial intelligence (AI) model for stent length selection during ERCP. METHODS: Images of the patients who underwent ERCP and were diagn...

Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI.

OBJECTIVE: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T1 weighted imaging (WI) Dynamic Contrast-Enhanced ...

Establishing models for postmortem interval estimation based on measuring surface temperature of corpses and ambient temperature by infrared thermography technology.

Body temperature is an important indicator for forensic scientists to estimate the early post-mortem interval (PMI). Traditionally, forensic practitio...

The Impact of Radiation Dose to Bowel on the Risk of Developing Gastrointestinal Toxicities When Treating Abdominopelvic Soft-Tissue Sarcomas With Preoperative Radiation Therapy.

PURPOSE: Abdominopelvic soft-tissue sarcomas (AP-STS) are selectively treated with radiation therapy (RT) followed by surgery. We investigated dosimet...

Polyp image segmentation based on parallel dilated convolution and dual attention mechanisms.

Colorectal cancer is usually caused by malignant transformation of early colon polyps. Early polyps are benign, but if left untreated, they can progre...

KLF7 as a biomarker for the pre-metastatic state promotes colorectal cancer liver metastasis via TGFβ autocrine signaling.

Although metastasis-initiating cells drive metastasis, only a certain subpopulation of these cells can successfully disseminate from the primary tumor...

Predictive value of dynamic creatinine cumulative exposure and trajectory classification onmortality in severe acute pancreatitis: a multicenter retrospective cohort study.

AIMS: This study aims to evaluate the predictive value of cumulative creatinine exposure (CumCr) and dynamic creatinine trajectories for severe acute ...

Novel Machine-Learning Models Outperform Noninvasive Tests in Metabolic Dysfunction-Associated Steatohepatitis With Fibrosis.

BACKGROUND & AIMS: Noninvasive tests (NITs) have not yet been systematically evaluated or optimized to detect metabolic dysfunction-associated steatoh...

Artificial intelligence (AI) in nutrition: A case-based comparison of generative AI models.

BACKGROUND: Clinical nutrition (CN) is becoming increasingly complex because of the rising prevalence of chronic illness, cancer, and malnutrition-rel...

Assessment of deep learning reconstruction effects on detection and differentiation of liver metastasis from hepatic hemangioma in diffusion-weighted imaging.

PURPOSE: To evaluate and compare the performance of diffusion-weighted imaging (DWI) using compressed sensing (CS) and DWI using CS with model-based d...

Automatically Measuring Kidney, Liver, and Cyst Volumes in Autosomal Dominant Polycystic Kidney Disease.

KEY POINTS: TraceOrg is a web-based tool that automatically labels kidney, liver, and cysts, reporting volumes and Mayo Imaging Classification. Extern...

A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associations.

Identifying the potential miRNA-disease association (MDA) has a greater impetus to the development of drug prevention, treatment and other fields. For...

Microbiome based precision medicine through integrated multiomics and machine learning.

Gut microbiome (GME) is a dynamic ecosystem composed of diverse microorganisms with extensive functional potential that influence host physiology, end...

Few-shot learning and explainable AI for colon cancer histopathology: A prototypical network with multi-technique interpretability.

BACKGROUND: Colon cancer diagnosis from histopathology is challenging due to limited annotated data and the lack of interpretability in deep models. O...

Fully automated multi-sequence detection and alignment of focal liver lesions in dynamic contrast-enhanced MRI.

OBJECTIVES: To validate an artificial intelligence (AI) method for fully automated detection and alignment of focal liver lesions (FLLs) in multi-sequ...

Advanced artificial intelligence combined with SERS platforms for diagnosis and therapeutic effects of cancer in clinical applications.

Surface-Enhanced Raman Spectroscopy (SERS) has become a valuable way to detect small amounts of molecules due to its high sensitivity. Nonetheless, ap...

Predictive imaging in abdominal oncology: current trends and future directions.

While the concept of predictive imaging is not entirely new, advanced analytic tools such as radiomics and machine learning have laid the foundation f...

Construction and optimization of a LAMP-based diagnostic platform for acute hepatopancreatic necrosis disease in Penaeus vannamei.

Acute hepatopancreatic necrosis disease (AHPND) poses a major threat to global shrimp aquaculture, especially impacting Penaeus vannamei. Given the hi...

Ultrasound super-resolved hemodynamic estimation in microvessel using physics-informed neural networks and data assimilation.

BACKGROUND AND OBJECTIVE: Ultrasound super-resolution imaging (SRI) enables the visualization of microvascular structure and velocity, but enhancing t...