Gastroenterology

MRI Habitat Analysis for Preoperative Prediction of Perineural Invasion and Prognostic Stratification in Rectal Cancer.

BACKGROUND: Accurate preoperative assessment of perineural invasion (PNI) remains challenging in rec...

Editorial for "MRI Habitat Analysis for Preoperative Prediction of Perineural Invasion and Prognostic Stratification in Rectal Cancer".

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular ...

NucVerse3D: generalizable 3D nuclear instance segmentation across heterogeneous microscopy modalities.

Accurate three-dimensional (3D) nuclear instance segmentation is a prerequisite for quantitative phe...

Artificial intelligence iterative imaging reconstruction with low-dose CT scans for hepatic metastases.

Contrast-enhanced CT is commonly used in the evaluation of hepatic metastatic lesions. This prospect...

Construction of a predictive model for the risk of non-alcoholic fatty liver disease in patients with sleep apnea syndrome based on multiple machine learning algorithms: a multicenter study.

BACKGROUND: Sleep apnea syndrome (SAS) is closely related to an increased risk of non-alcoholic fatt...

Artificial intelligence-enhanced ultrasound multimodal imaging and tissue characterization for predicting immunotherapy efficacy in rectal cancer.

Rectal cancer remains a global health burden, with immunotherapy emerging as a transformative treatm...

Preoperative prediction of hepatocellular carcinoma histological grade using MRI-based artificial intelligence models: A systematic review and meta-analysis.

OBJECTIVE: To evaluate the diagnostic performance of magnetic resonance imaging (MRI)-based artifici...

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma ...

The role of MRCP in characterizing ductal communication and high-risk features in pancreatic cystic lesions.

Pancreatic cystic lesions are increasingly detected due to the widespread use of high-resolution cro...

Artificial intelligence in small tissue biopsies: diagnostic applications, histochemical integration, and methodological challenges in surgical pathology.

Small tissue biopsies, including renal core biopsies, bone marrow trephines, gastrointestinal endosc...

Use of artificial intelligence in analysis of endoscopic images to detect residual disease or regrowth in rectal patients with complete clinical response to neoadjuvant chemoradiotherapy.

BACKGROUND: Patients with rectal cancer who have a complete clinical response (cCR) to neoadjuvant c...

Laparoscopic Roux-en-Y Gastric Bypass with the Maestro™ System: a Novel Collaborative Robotic Platform.

BACKGROUND: Laparoscopic Roux-en-Y gastric bypass (LRYGB) is a cornerstone of bariatric surgery, yet...

Multi-omics-based machine learning model predicts response and guides treatment in Crohn's disease: a case study in nutritional therapy-response to editorial.

A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study.

BACKGROUND: Eligibility criteria are essential to clinical trial design, guiding recruitment, and en...

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study.

OBJECTIVE: Inadequate bowel preparation impairs the accuracy of colonoscopy and increases the burden...

Dual-Phase Computed Tomography-Based Deep Learning Architecture for Three-Year Survival Prediction in Hepatocellular Carcinoma.

Hepatocellular carcinoma (HCC) is a major global health burden, ranking as the sixth most common can...

The role of artificial intelligence in adenoma detection during colonoscopy: a systematic review and meta-analysis of randomized controlled trials-Artificial intelligence and adenoma detection.

BACKGROUND: Colonoscopy is the gold standard for colorectal cancer screening; however, it is limited...

Single-cell and machine learning reveal ROS-associated heterogeneity in hepatocellular carcinoma for precision medicine.

BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progressi...

Multi-omics integration identifies ribosome biogenesis-active macrophage subpopulation and its key gene GNL2 in driving liver hepatocellular carcinoma progression and mechanisms.

BACKGROUND: Liver hepatocellular carcinoma (LIHC) is a common malignancy, yet the core genes driving...

Application of artificial intelligence based on contrast-enhanced CT imaging for predicting peritoneal metastasis in patients with T3/T4 stage gastric cancer.

Gastric cancer, prevalent in East Asia, often presents with peritoneal metastasis at diagnosis, limi...