Gastroenterology

Explainable artificial intelligence for personalized prognosis in pancreatic cancer: A nationwide study from Taiwan.

Pancreatic cancer is highly aggressive with poor outcomes; current artificial intelligence (AI) prog...

Associations between 12 insulin resistance surrogates with metabolic dysfunction-associated steatotic liver disease risk and all-cause mortality: data from the NHANES III (1988-1994).

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) has been shown to be in...

Advances and opportunities in measuring dietary intake: from omics to AI.

Accurate measurement of dietary intake remains a cornerstone challenge in optimizing the efficacy of...

Artificial intelligence and capsule endoscopy.

The advent of artificial intelligence (AI) is revolutionizing today's clinical practice, particularl...

Keros-Net: a convolutional block attention module-squeeze-and-excitation-integrated hybrid learning framework for olfactory fossa depth classification.

PURPOSE: This study aimed to develop a hybrid decision support framework combining deep learning (DL...

A Machine Learning-Based Clinical Tool for Predicting Inadequate Bowel Preparation: Development and Validation.

OBJECTIVES: Colonoscopy is an essential tool for diagnosing and treating colorectal diseases, with b...

AI-Derived Electronic Tumor Marker For Cancer Antigen 19-9 Nonproducers With Pancreatic Ductal Adenocarcinoma.

IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pa...

An artificial intelligence-powered digital pathology platform to support large-scale deworming programs against soil-transmitted helminthiasis and intestinal schistosomiasis in resource-limited settings.

BACKGROUND: The World Health Organization (WHO) has emphasised the need for innovative diagnostic to...

Origami-inspired grasper for safe tissue manipulation.

The OriGrasp can flatten for storage and deploy as a compliant grasper for firm yet safe handling of...

Text-guided automatic segmentation of clinical target volume in rectal cancer radiotherapy.

OBJECTIVE: Current automatic segmentation models in radiotherapy, which are predominantly unimodal a...

Token-guided multimodal prognosis in hepatocellular carcinoma: a framework steered by tumour-stroma ratio.

BACKGROUND: The tumour-stroma ratio (TSR) is a potential prognostic indicator, yet hindered by quant...

ChatGPT in liver transplantation: Current applications, limitations, and future directions.

Liver transplantation (LT) remains the optimal life-saving intervention for patients with end-stage ...

Prospective evaluation of artificial intelligence-assisted monitoring of the effective withdrawal time on adenoma detection.

BACKGROUND/AIMS: Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may n...

Development of a convolutional neural network for the endoscopic classification of pouchitis in patients after restorative proctocolectomy.

BACKGROUND AND AIMS: The aim of this prospective single-center study is to train convolutional neura...

High-Speed Instance Segmentation for Endoscopic Spine Surgery: Multicenter Validation and Inference Speed Evaluation.

Study DesignRetrospective Multicenter Cohort Study.ObjectivesTo develop and validate an AI-based hig...

Machine learning-based prediction of BV-relevant probiotic functional potential in vaginal-derived Lactobacillus crispatus strains.

The vaginal microbiota plays a pivotal role in maintaining female reproductive health and homeostasi...

Artificial intelligence-assisted polyp detection in colonoscopy - Methodological considerations for annotation standardization.

Noninvasive Detection of Occult yet Significant Liver Pathology in Alanine Aminotransferase-Normal Chronic Hepatitis B: A Multicenter Study.

BACKGROUND: Individuals with chronic hepatitis B (CHB) may harbor occult yet significant liver patho...

Application value of gastric contrast ultrasonography in gastric tumors.

In recent years, gastric oral contrast ultrasonography (OCUS) and double contrast-enhanced ultrasono...

Rectal Cancer Radiotherapy Response Prediction: Retrospective Study of Development of a Deep Learning-Based Radiomics Model.

Background: Radiotherapy (RT) is a cornerstone of multimodal treatment for rectal cancer (RC); yet, ...

Minimally invasive spine surgery: current advantages, limitations, and future directions.

Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular re...