Peptic Ulcer Disease

External Validation of an AI-Based Colonoscopy Quality Assessment Tool in Japanese Clinical Practice: A Pilot Study.

BACKGROUND: While AI-assisted polyp detection has advanced significantly, comprehensive AI-based colonoscopy quality assessment tools remain limited. This study aimed to externally validate an AI-based colonoscopy quality assessment tool (AI-CQ) in Japanese clinical practice. METHODS: This retrospective study analyzed 40 screening colonoscopy procedures at a tertiary endoscopy hospital in Japan. A...

Identification of the immune-related diagnostic biomarkers between Graves' disease and thyroid carcinoma based on comprehensive bioinformatics analysis and machine learning.

Increasing evidence suggests that Graves' disease (GD) may increase the risk of thyroid cancer (THCA), but diagnostic biomarkers associated with it remain underexplored. To address this issue, we analyzed the Gene Expression Omnibus (GEO) and TCGA (The Cancer Genome Atlas) databases, identified 21 shared immune-related genes via differential expression analysis and weighted gene coexpression netwo...

Familial colorectal cancer: risk factors, screening strategies and personalized medicine.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide, with approximately 25-30 % of cases exhibiting a familial compo...

Evaluation of the impact of NOAC underdosing and exploration of bleeding risk factors in elderly patients with atrial fibrillation: artificial intelligence-based approach.

OBJECTIVE: Atrial fibrillation in elderly patients increases the risk of thromboembolism, necessitating long-term anticoagulation. While non-vitamin K...

Accuracy of automated 3D biliary tract reconstruction compared to ERCP to assess Bismuth-Corlette classification in patients with perihilar cholangiocarcinoma.

INTRODUCTION: Accurate descriptions of the extent of disease in intrahepatic bile ducts are essential for managing patients with perihilar cholangioca...

Building a durable "rural-to-center" endoscopy artificial intelligence system: practical enhancements for scale.

Interpretable machine learning for predicting in-hospital bleeding after PCI in patients with diabetes and acute coronary syndrome: a retrospective cohort study.

[Dual role of tea consumption in gastrointestinal disease risks: analysis using a risk prediction model integrating interpretable machine learning and large language model].

OBJECTIVES: To explore the correlation of tea consumption with risks of gastrointestinal diseases using a risk prediction model integrating interpreta...

Gut-brain axis-mediated mechanisms and immune regulatory pathways in vascular dementia: insights into microbiota-derived metabolites and novel therapeutic strategies.

BACKGROUND: Vascular dementia (VaD), known for cognitive issues and cerebrovascular irregularities, is a common dementia type, but its molecular under...

Development of an artificial intelligence platform to improve compliance in periodontal maintenance patients: A proof-of-concept study.

BACKGROUND: The purpose of this study is to report on the development of an artificial intelligence (AI) model designed to improve compliance in perio...

Development and internal-external validation of a machine learning model to predict the risk for postoperative adverse events in patients with peptic ulcer perforation: a secondary cohort study of the perforated peptic ulcer analyzing project study.

BACKGROUND: Morbidity and mortality rates after surgery in patients with perforated peptic ulcer (PPU) remain high. Although several scoring systems h...

Identifying a fatty acid metabolic gene signature in diabetic cardiomyopathy through integrated bioinformatics and machine learning.

BACKGROUND: Diabetic cardiomyopathy (DCM) is a major cardiovascular complication of diabetes mellitus, ultimately progressing to heart failure and inc...

Artificial sweeteners and male infertility: Network toxicology and experimental evidence reveal FGFR1 as the critical target.

BACKGROUND: Artificial sweeteners (ASs) are widely used sugar substitutes, but chronic exposure is linked to male infertility. We integrated computati...

AI-Enhanced Vibrational Capsule for Minimally Invasive Detection of Abnormal Bowel Tissue.

Colorectal cancer remains one of the leading causes of cancer mortality, and its prognosis is strongly dependent on early detection. Conventional diag...

Diethyl Phthalate (DEP) as a potential osteosarcoma risk factor: a multi-omics study integrating network Toxicology, single-cell RNA sequencing, and molecular docking.

Diethyl phthalate (DEP), a common plasticiser and endocrine disruptor, has been linked to cancer, but its role in osteosarcoma (OS) remains unclear. T...

Exploratory identification of COL1A1 as a potential gene linking endocrine-disrupting chemicals and lung adenocarcinoma: a bioinformatics and machine learning analysis.

BACKGROUND: Endocrine-disrupting chemicals (EDCs) are common environmental pollutants that affect human health. These chemicals have been linked to th...

Harnessing artificial intelligence in gastrointestinal endoscopy for early detection of dysplastic lesions in inflammatory bowel disease.

Artificial intelligence (AI) has become an increasingly valuable tool in gastrointestinal endoscopy, especially in the context of inflammatory bowel d...

Multicenter Clinical Validation of an Artificial Intelligence Diagnostic Classification Model for Laryngoscopy Images.

OBJECTIVE: To develop and externally validate a computer-aided diagnosis (CADx) model using artificial intelligence (AI) for classifying laryngeal les...

Computational Drug Repurposing for Alzheimer's Disease via Sheaf Theoretic Population-Scale Analysis of snRNA-Seq Data.

Single-cell and single-nucleus RNA sequencing are used to reveal heterogeneity in cells, showing a growing potential for precision and personalized me...

Small-bowel capsule endoscopy - from clinic to couch: time to go green?

PURPOSE OF REVIEW: Small-bowel capsule endoscopy (SBCE) has transformed small-intestine diagnostics by enabling direct, noninvasive mucosal visualizat...