Inflammatory Bowel Disease

Bowel preparation and adenoma detection in AI-assisted colonoscopy.

BACKGROUND AND AIM: Artificial intelligence (AI)-assisted colonoscopy improves adenoma detection rat...

Integrative Multi-Omics and Machine Learning Reveal Senescent Fibroblast-Associated ADAMTS2 as a Critical Indicator of Intestinal Inflammation in IBD.

Although cellular senescence contributes to tissue dysfunction in inflammatory bowel disease (IBD), ...

AI-generated guidance for non-specialist physicians managing inflammatory bowel disease: expert evaluation and case-based testing of GPT-4 and DeepSeek.

INTRODUCTION: Shortages of inflammatory bowel disease (IBD) specialists, particularly in China and o...

Machine learning methods and schizophrenia spectrum disorders: a scoping review.

BACKGROUND: Schizophrenia spectrum disorders (SSDs) are chronic conditions associated with profound ...

Evolution of Endoscopic Spine Surgery: Contemporary Advances and Future Directions.

PURPOSE OF REVIEW: Endoscopic spine surgery has evolved from non-visualized percutaneous discectomy ...

The chaos of choice in large B-cell lymphoma: a call to harmonize first-line trials.

After 5 decades of cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP)-based therapy, ...

Multilevel Structure-Function Coupling Reveals Network Signatures of Remission in Paroxysmal Kinesigenic Dyskinesia.

BACKGROUND: Paroxysmal kinesigenic dyskinesia (PKD) causes brief, movement-triggered dystonic or cho...

Artificial Intelligence in Chronic Rhinosinusitis: From the Present to the Future.

Chronic rhinosinusitis (CRS) is a common, biologically heterogeneous disease in which diagnosis, end...

Integrative AI-based multiomic and neurophysiological profiling of chronic pain in rheumatoid arthritis: study protocol for the prospective, observational, case-control RA-PAIN-AI study.

INTRODUCTION: Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease in which pain remai...

Predicting Oral Cancer From Precursor Lesions: The Case for a Standardized Framework of Analysis to Improve Prediction Modeling.

Oral Cancer often occurs from the transformation of precursor lesions, and this offers an opportunit...

Long-term recovery and microbiota-gut-brain axis disruption after traumatic brain injury (OVERCOME-TBI): protocol for a prospective, observational clinical study.

INTRODUCTION: Traumatic brain injury (TBI) is a major cause of long-term disability worldwide, but t...

Obstetric pharmacoeconomics.

INTRODUCTION: Pharmacoeconomic principles are increasingly shaping modern obstetric pharmacology as ...

Psychopathological and Temperamental Stratification of Eating Disorders With Clustering: From Diagnosis to Phenotypic Diversity.

OBJECTIVE: Eating disorders are highly heterogeneous, challenging diagnostic classification and trea...

Comment on "Computer-assisted adenoma detection colonoscopy with an ENDO-AID artificial intelligence system and Endocuff- versus Endocuff-assisted colonoscopy: a randomized controlled trial".

Non-Invasive Colorectal Cancer Screening Using Stool- and Blood-Based Tests: Evidence, Feasibility, and Equity Considerations.

Colorectal cancer (CRC) remains a major cause of cancer incidence and mortality worldwide. Because c...

Safety management of anti TROP2 ADCs in patients with breast cancer.

PURPOSE OF REVIEW: TROP2-directed antibody-drug conjugates (trophoblast antigen 2-directed ADCs) are...

An Explainable Multimodal Model for Assessing Mucosal Healing in Small Bowel Crohn's Disease: A Multicenter Study with Prospective Validation.

Accurate assessment of mucosal healing (MH) in small bowel Crohn's disease (SBCD) remains challengin...

Real-Time AI-Assisted Detection of Colonic Lesions Using the iIDEAS Intelligent-C Module: A Prospective Single-Center Validation Study.

AIMS: Colorectal cancer (CRC) remains a major cause of cancer mortality, with up to 26% of adenomas ...

The yield of artificial intelligence (GI genius) in Lynch syndrome -A randomized tandem-colonoscopy trial.

BACKGROUND AND AIMS: Artificial intelligence (AI)- assisted colonoscopy has been shown to increase t...

FAR-POLYP-SEG: A Prospective Single-Center Colonoscopy Dataset for Colorectal Polyp Segmentation with Patient-Level Metadata and Baseline Cross-Dataset Evaluation.

Reliable computer-aided colonoscopy depends on well-organized imaging data, transparent benchmarking...

User perceptions of an artificial intelligence-based computer-aided detection system in colonoscopy: a single-center exploratory survey study.

PURPOSE: Artificial intelligence (AI)-based computer-aided detection (AI-CADe) systems can improve a...