Gastroenterology

Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of the standard care given due to minimal invasive decompression, but comparative 12-month outcome data of arthroscope-aided single-portal surgery of the lumbar spine (AUSS) and percutaneous endoscopic lumbar decompression (PELD) are scarce. There are also no individual outcome prediction models of these...

Novel application of attention-enhanced hybrid efficient net for multi-scale histopathological cancer classification.

Examination of high-resolution whole-slide images requires an analysis of the histopathological images, which is essential in the precise diagnosis of cancer; nevertheless, manual analysis is time-consuming and is highly susceptible to inter-observer variability. This paper will address these shortcomings by developing a new Attention-Enhanced Hybrid EffNet (AEH-EffNet) system to automatically cla...

Artificial intelligence with mucosal exposure devices versus artificial intelligence alone in detection of colorectal adenomas: a systematic review and meta-analysis.

BACKGROUND AND AIMS: Both artificial intelligence (AI) and mucosal exposure devices (MEDs) have been shown to improve adenoma detection rate and reduc...

Personalized survival prediction in elderly dialysis patients: integrating machine learning with traditional survival analysis.

BACKGROUND: Elderly patients undergoing kidney replacement therapy (KRT) face high mortality rates. Traditional statistical models describe overall su...

Optimizing the mathematical model and technical standards for unilateral biportal endoscopic spinal surgery through machine learning-based video analysis.

OBJECTIVE: To enhance the efficacy of the unilateral biportal endoscopic spinal procedure, the spinal triangle concept is proposed, integrating a digi...

A scoping review on emerging biomarkers in inflammatory bowel disease: Towards precision medicine in diagnosis and therapeutic management.

BACKGROUND: Inflammatory Bowel Diseases (IBD) are chronic conditions presenting significant diagnostic and management challenges. Current invasive met...

Evaluation of Machine Learning and Statistical Models for Predicting Long Term Gastrostomy Tube Dependency in Patients Undergoing Major Oral Cavity Cancer Surgery With Free Flap Reconstruction.

BACKGROUND: Swallowing dysfunction and long-term gastrostomy tube dependence are common morbidities after oral cavity cancer resection with free flap ...

Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR.

BACKGROUND: New long field-of-view (FOV) PET scanners using bismuth germanate (BGO) detectors without time-of-flight (TOF) capability are now availabl...

Machine learning and multi-omic empowered risk stratification and therapeutic framework targeting nucleotide metabolism and mast cell for stomach adenocarcinoma patients.

BACKGROUND: Mast cell and nucleotide metabolism(NM) encodes the Stomach adenocarcinoma (STAD) progression and tumor immune microenvironment(TME) heter...

Towards transparent and reliable AI in gastroenterology: pragmatic recommendations for evaluation and reporting.

Artificial intelligence (AI) is expanding in gastroenterology, particularly in endoscopy and imaging, where models support detection, classification, ...

Assessing collagenase-a and type-II mediated degradation of human type-I collagen by photoacoustic spectroscopy toward clinical translation in cancer progression.

The current study reports the design and development of a compact photoacoustic (PA) sensor for label‑free detection of collagen degradation, a key ha...

Development and validation of a machine learning model for identifying liver fibrosis in MAFLD: a retrospective model development study.

BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD), as the most prevalent chronic liver disease globally, is closely related to ...

RRM2B is associated with low-level viremia during entecavir therapy in pediatric chronic hepatitis B and promotes profibrotic signaling in vitro.

BACKGROUND: Low-level viremia (LLV) during nucleos(t)ide analogue therapy for chronic hepatitis B (CHB) is clinically relevant, but its biological bas...

Periodic surveillance of intraductal papillary mucinous neoplasms: gaps in evidence and future directions.

Intraductal papillary mucinous neoplasm (IPMN) is a well-established precursor to pancreatic cancer; however, its generally indolent biological behavi...

KG-Microbe - Building Modular and Scalable Knowledge Graphs for Microbiome and Microbial Sciences.

BACKGROUND: The integration of many disparate forms of data is essential for understanding the microbial world and its interaction with the environmen...

Adaptive graph learning of microbial phylogeny enables accurate and interpretable microbiome-based host phenotype prediction.

The human microbiome is inherently structured by phylogeny, yet most predictive models treat microbial taxa as independent features, thereby underusin...

Biomarkers for minimally invasive multigrade liver cancer diagnosis using integrative heterogeneous models and evolutionary algorithms.

Liver cancer, a leading global cause of death, requires early and accurate diagnosis for better treatment outcomes and reduced mortality rates. This r...

Identification of therapeutic targets and postoperative recurrence prediction model construction for hepatocellular carcinoma based on systematic mendelian randomization.

BACKGROUND AND STUDY AIMS: Hepatocellular carcinoma (HCC) has a high risk of postoperative recurrence. This study aimed to develop a transcriptome-bas...

CT-based Deep Learning Model for Automatic Segmentation and Early Predicting of Pyogenic Liver Abscess Caused by Extended-Spectrum β-lactamase-Producing Enterobacteriaceae: A Multicenter Retrospective Study (CLASS2401).

RATIONALE AND OBJECTIVE: Pyogenic liver abscess (PLA) caused by extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PLA) presents major a...

Prediction of microvascular invasion in hepatocellular carcinoma using contrast-enhanced ultrasound and deep learning.

Microvascular invasion (MVI) is a key prognostic factor in hepatocellular carcinoma but is currently only detectable after surgery. Here, we develop M...