Gastroenterology

The SHAP Has Sailed: Explainable Machine Learning Meets Endoscopic Ultrasonography in the Diagnosis of Non-pancreatic Periampullary Lesions.

Impact of Computer-Aided Detection on Endoscopist's Gaze-Shift Distance During Colonoscopy: a Randomized Controlled Trial (With Video).

BACKGROUND AND AIM: Computer-aided detection (CADe) facilitates colorectal lesion detection, but it remains unclear whether CADe affects endoscopist's eye strain by altering gaze patterns. This study aimed to determine whether CADe-assisted colonoscopy is superior to conventional colonoscopy in reducing endoscopists' gaze-shift distance. METHODS: This single-center randomized controlled trial enro...

GCN combined with snake convolution for enhanced topological perception in thrombotic hepatic portal vein segmentation.

The hemodynamic status of the portal vein plays a crucial role in the identification, treatment, and prognostic prediction of complications associated...

Preoperative CT-based topologically distinct intratumoral heterogeneity scores for predicting intratumoral tertiary lymphoid structures and outcomes in hepatocellular carcinoma: A multicenter study.

OBJECTIVES: Intratumoral tertiary lymphoid structures (iTLSs) are prognostic biomarkers for hepatocellular carcinoma (HCC). This study aimed to develo...

A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma.

Palmatine ameliorates MASLD in type 2 diabetes by modulating hepatic apoptosis and inflammation.

Type 2 diabetes mellitus (T2DM) is a major risk factor for metabolic dysfunction-associated steatotic liver disease (MASLD), and their convergence pre...

Enhancing Exploration and Exploitation in Tumor Treatment Through Action-Guided Deep Reinforcement Learning.

Inverse treatment planning is pivotal in tumor treatment planning. It enables the multi-objective optimization of radiation dose delivery, ensuring pr...

Embedding artificial intelligence literacy in endoscopy training: extending the European Society of Gastrointestinal Endoscopy (ESGE) curriculum framework.

Statistical models to characterize colon tumor stiffness heterogeneity through representative atomic force microscopy maps.

The study of the impact of physical forces and on cells has emerged as a fertile field of investigation. Applications in oncology are especially trans...

AI-assisted tumor board decision-making in pancreatic oncology.

BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Mod...

Interpretable machine learning models based on CT radiomics for predicting chemoradiotherapy response in rectal cancer.

Contrasting roles of PD-L1 expression in tumor and stroma: Biological and prognostic implications in esophageal squamous cell carcinoma.

Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous cell carcinoma (ESCC) and has been widely used as a...

MRI-based AI framework for predicting lymph node metastasis and prognosis in rectal cancer after neoadjuvant chemoradiotherapy: a multicenter study.

BACKGROUND: Early prediction of lymph node metastasis (LNM) after neoadjuvant chemoradiotherapy (nCRT) is crucial for improving treatment planning and...

Pilot study: external validation of commercial veterinary radiology artificial intelligence services shows deficiencies in interpretation of general practice-sourced canine abdominal radiographs.

OBJECTIVE: To evaluate the diagnostic performance of commercial veterinary radiology AI platforms on general practice canine abdominal radiographs wit...

Artificial intelligence in medicine: a scoping review of the risk of deskilling and loss of expertise among physicians.

BACKGROUND: Artificial intelligence (AI) systems are increasingly deployed in clinical practice, particularly in radiology, pathology, endoscopy, and ...

Atypical Ductular Reactions Are a Distinct Regenerative Phenomenon in Hepatocellular Carcinoma (HCC) Patients after Transarterial Chemoembolization.

Transarterial chemoembolization (TACE) is increasingly used in patients with hepatocellular carcinoma (HCC), the most frequent primary liver tumor. At...

Artificial intelligence in inflammatory bowel disease: bridging innovation, implementation and impact.

Artificial intelligence (AI) is rapidly transforming the management landscape of inflammatory bowel disease (IBD). While early applications in endosco...

Multimodal deep learning for inflammatory bowel disease: a new frontier in cellular and molecular biomarker discovery to clinical translation.

Comment on "The optimal labelling method for artificial intelligence-assisted polyp detection in colonoscopy".

A Biologically Informed Machine Learning Pipeline Uncovers Metabolic Features of Intestinal Barrier Dysfunction.

Intestinal barrier dysfunction is a pivotal factor in diverse pathologies, yet clear diagnostic criteria remain elusive, and biomarker discovery is of...