Gastroenterology

The Role of Perioperative Artificial Intelligence in Colon and Rectal Surgery.

Artificial intelligence (AI) is rapidly transforming surgical practice with growing applications in colon and rectal surgery. This review explores perioperative AI tools that assist with operative planning, intraoperative guidance, and outcome optimization. Preoperative innovations include machine learning models that outperform traditional risk calculators for predicting complications and readmis...

Artificial Intelligence Applications in the Diagnosis, Treatment, and Prognosis of Hepatocellular Carcinoma.

The global burden of hepatocellular carcinoma (HCC) has shifted from viral to nonviral etiologies. However, successful antiviral therapy does not fully eliminate the risk of HCC, underscoring the demand for more effective surveillance strategies. Current screening methods, such as semiannual ultrasonography and the measurement of α-fetoprotein levels, offer suboptimal sensitivity for early detecti...

Development and validation of interpretable machine learning models for dynamic prediction of prognosis in acute pancreatitis complicated by acute kidney injury: A multicenter study.

OBJECTIVE: This study aims to develop and validate interpretable machine learning (ML) models to dynamically predict mortality risk among intensive ca...

Machine Learning-Based Multi-Omics Integration for Identification of Hepatocellular Carcinoma Biomarkers in an Egyptian Cohort.

Hepatocellular carcinoma (HCC) ranks among the most common causes of cancer-related deaths globally. The high incidence of HCC is largely linked to ch...

Artificial Intelligence for the Treatment and Management of Colorectal Liver Metastases.

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy worldwide. Prognosis is significantly worsened in patients with colorectal liv...

Are Chat Generative Pre-trained Transformer Answers to Patient Questions Regarding Fecal Incontinence Accurate, Complete, and Consistent With the American Society of Colorectal Surgeons Clinical Practice Guidelines?

BACKGROUND: Chat Generative Pre-trained Transformer, an artificial intelligence large language model chatbot, transforms how patients obtain informati...

Molecular mechanism and structure-activity relationships of natural source polysaccharides in intervening type 2 diabetes mellitus through antioxidant effects: A systematic review.

Type 2 diabetes mellitus (T2DM) is a prevalent metabolic disorder closely associated with oxidative stress. Natural source polysaccharides (NSPs) show...

Pectin from Phyllanthus emblica L.: Structure elucidation and synergistic in vitro anti-stomach adenocarcinoma effects with 5-fluorouracil.

In recent years, polysaccharides with potential anticancer activity have attracted widespread attention. In this study, a homogeneous polysaccharide f...

Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging.

MRI of the heart and abdominal organs provides unparalleled soft tissue contrast and quantitative biomarkers, yet remains highly susceptible to physio...

Critical temperature and minimal water preservation of Litopenaeus vannamei in household refrigerators: Survival and quality responses.

Maintaining the survival and quality of Litopenaeus vannamei (L. vannamei) in household settings proves particularly challenging. This study aimed to ...

A chalcone-rich extract from licorice root inhibits liver steatosis and fibrosis via regulating PPARα and TGFβ signaling.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is a major liver disorder, which seriously affects human health globally....

Cardiovascular pulsing-based ultrasound strain imaging with deep learning using paired proximal and distal strain sequences for liver fibrosis detection: a feasibility study.

Accurate assessment of liver fibrosis in the left liver lobe remains clinically challenging due to motion artifacts that compromise the reliability of...

Advances in the Application of Digital Health Technologies in the Management of Patients With Inflammatory Bowel Disease.

Inflammatory bowel disease (IBD) is a chronic disorder that requires long-term follow-up and individualized management. With the rapid development of ...

Causal Inference and Prognostic Modeling in Colorectal Cancer through Integration of Computational Pathology and Mendelian Randomization.

BACKGROUND: While traditional pathology supports the diagnosis and staging of colorectal cancer (CRC), computational pathology provides novel prognost...

HepatoAILFA: Machine-Learning-Assisted Nano-enhanced Point-of-Care System for Personalized Precise Diagnosis of Hepatocellular Carcinoma.

Early diagnosis significantly improves survival rates for hepatocellular carcinoma (HCC), yet traditional methods face limitations, including speciali...

Micro- and nanoplastics (MNPs) in liquid food: From occurrence, health risks and migration mechanisms to AI-enabled analytical and circular solutions.

Microplastics (MPs, 1 μm-5 mm) and nanoplastics (NPs, <1 μm) are routinely detected in wide array of liquid food, including drinking water, milk, beve...

Subtype classification of gastric spindle cell tumors in whole slide images.

AIMS: Accurate cancer subtype classification is critical due to variations in tumor progression and prognosis. Traditionally, pathologists classified ...

Preliminary Exploration of Discriminative Correlation Filter Network for Real-time Tracking of Inconspicuous Focal Liver Lesions on Conventional Ultrasound.

OBJECTIVE: This study aimed to explore the feasibility of a discriminative correlation filter network (DCFNet)-based algorithm for positioning inconsp...

Central control of gastrointestinal functions in health and disease.

Thanks to its extensive intrinsic (enteric) neural networks spanning its entire length, the gastrointestinal (GI) tract has long been recognized for i...

Risk Prediction for Delayed Bleeding After Endoscopic Submucosal Dissection in Colorectal Precancerous Lesions Using Artificial Intelligence: Retrospective Clinical Trial.

BACKGROUND: Delayed bleeding is a common complication after endoscopic submucosal dissection. OBJECTIVE: Our study aimed to assess risk factors for de...