Gastroenterology

Integrating habitat-based radiomics, 3D deep learning, and clinical variables for detection of early-stage esophageal squamous cell carcinoma on noncontrast chest CT: A multicenter study.

RATIONALE AND OBJECTIVES: To develop and validate a Combined model integrating habitat-based sub-regional radiomics, 3D deep learning (DL) features, and clinical variables for the detection of early-stage esophageal squamous cell carcinoma (ESCC) on noncontrast chest CT. MATERIALS AND METHODS: In this retrospective multicenter study, the segmented esophageal region of interest was partitioned into...

Artificial Intelligence and Generative Models in Hepatology: From Large Language Models to Digital Pathology in Liver Disease Diagnosis and Treatment.

Artificial intelligence (AI), particularly foundation and generative models, is reshaping the practice of hepatology through enhanced knowledge synthesis, quantitative and reproducible analysis of multimodal data, and personalized clinical decision support. This narrative review examines the transition from task-specific discrimination AI to large language models (LLMs), multimodal foundation mode...

The mediating role of genes in the influence of intestinal flora on type 2 diabetes and the screening of diagnostic markers.

INTRODUCTION: The composition of intestinal flora affects the occurrence and development of type 2 diabetes to some extent, with dysregulation of the ...

Portal vein resection in pancreatic cancer: from technical feasibility to biological patient selection.

INTRODUCTION: Portal vein resection (PVR) has become an established component of pancreatic cancer surgery for selected patients with portal vein-supe...

Intelligent recognition and segmentation of anatomical structures in spinal endoscopy: a deep learning approach with 1000 annotated images.

BACKGROUND: Accurate intraoperative identification of anatomical structures is critical for ensuring the safety and efficacy of spinal endoscopic surg...

Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy.

BACKGROUND: Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8-20% of patients. While indocyanine green fluor...

Multimodal features and prognostic risk assessment in locally advanced gastric cancer patients following neoadjuvant therapy based on machine learning algorithms: a multicenter study.

BACKGROUND: Neoadjuvant therapy (NAT) is recommended for locally advanced gastric cancer (LAGC), but some patients respond poorly. We aimed to constru...

Metabolomic Profiling and Machine Learning-Based Prediction of High-Dose Methotrexate-Induced Liver Injury in Pediatric Acute Lymphoblastic Leukemia.

BACKGROUND: High-dose methotrexate (HD-MTX) is essential for pediatric acute lymphoblastic leukemia (ALL) but frequently causes hepatotoxicity. To add...

Reporting and Data Systems (RADS) in Radiology: The Chinese Experience.

The Reporting and Data Systems (RADS) framework has become a key driver of structured reporting and standardization in radiology. This review summariz...

Integrated machine learning for cause-of-death classification and postmortem interval prediction: Liver and kidney metabolomics from seawater-immersed rat cadavers.

PURPOSE: To assess whether liver and kidney metabolomics combined with machine learning can distinguish seawater drowning from postmortem submersion a...

Multiomics and artificial intelligence identify infection associated subtypes and prognostic signatures in hepatocellular carcinoma.

UNLABELLED: Hepatocellular carcinoma (HCC) remains a major global health burden with persistently high morbidity and mortality. Dysregulation of the t...

Chemical-Sensing Catheters for Long-Term and Personalized Therapeutic Management.

Long-term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failur...

Multiparametric MRI-based multi-channel deep learning model for accurate preoperative prediction of perineural invasion in lymph node-negative rectal cancer.

OBJECTIVE: To develop a multiparametric MRI-based multi-channel deep learning model for accurate preoperative prediction of perineural invasion (PNI) ...

A CNN-based liver ultrasound plane recognition system with multimodal large language model-generated interpretable feedback.

OBJECTIVE: To construct a hybrid artificial intelligence (AI) pipeline that combines a convolutional neural network (CNN) for image recognition with a...

Preoperative PET/CT phenotype of gastric-type endocervical adenocarcinoma: integrated morphological, metabolic, serological, and explainable machine-learning analysis.

PURPOSE: Gastric-type endocervical adenocarcinoma (GAS) is an aggressive, non-HPV-associated cervical adenocarcinoma that is often difficult to recogn...

Multi-omics and artificial intelligence nominate PCLAF as a prognostic and druggable target for hepatitis B virus-associated hepatocellular carcinoma.

BACKGROUND: PCLAF (PCNA clamp-associated factor) is a protein involved in DNA replication and DNA repair. Aberrant PCLAF expression has been reported ...

AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models.

Optimizing murine models for studying Metabolic Dysfunction-Associated Steatohepatitis (MASH) and fibrosis is crucial for understanding disease mechan...

VN1K is a pangenome-informed multi-omics and phenomics resource for the Vietnamese population.

The population of Vietnam remains underrepresented in global genomic databases. Here, we present VN1K, a resource of multi-omics and phenotypic inform...

Automated deep learning detection of hepatic steatosis on non-contrast CT scans and discrepancy with scan reports.

BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major cause of liver disease that is growing in prevalence....

cfDNA derived gene signatures as surrogate for microvascular invasion in HCC.

BACKGROUND & AIM: Microvascular invasion (MVI) is a critical prognostic risk factor in hepatocellular carcinoma (HCC). This study evaluated the perfor...