Gastroenterology

Inflammatory Bowel Disease

Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.

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CAS-Colon: A Comprehensive Colonoscopy Anatomical Segmentation Dataset for Artificial Intelligence Development.

Artificial intelligence (AI) holds immense potential to transform gastrointestinal endoscopy by redu...

Evaluation of Net Withdrawal Time and Colonoscopy Video Summarization Using Deep Learning Based Automated Temporal Video Segmentation.

Adequate withdrawal time is crucial in colonoscopy, as it is directly associated with polyp detectio...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in ...

Machine learning for predicting crohn's disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort.

OBJECTIVES: In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Resea...

Self-Spiking Linear Neuromorphic Soft Pressure Sensor for Underwater Sensing Applications.

Many aquatic vertebrates rely on neuromasts in their lateral line system to detect water vibrations ...

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five...

A review on computer-aided diagnostic system to classify the disorders of the gastrointestinal tract.

Various diseases, such as colon cancer, gastric cancer, celiac, and bleeding, pose a significant ris...

Disease activity and treatment response in early rheumatoid arthritis: an exploratory metabolomic profiling in the NORD-STAR cohort.

BACKGROUND: The variability in treatment response in people with rheumatoid arthritis (RA) warrants ...

Robustness of steroidomics-based machine learning for diagnosis of primary aldosteronism: a laboratory medicine perspective.

OBJECTIVES: Use of machine learning (ML) in diagnostics offers promise to optimise interpretation of...

Explainable deep learning for stratified medicine in inflammatory bowel disease.

Moving from a one-size-fits-all to an individual approach in precision medicine requires a deeper un...

Eye Tracking Analysis to Determine the Endoscopist's Recognition Rate for Artificial Intelligence-Detected Sites in Colonoscopy.

PURPOSE: Computer-aided detection systems (CADe) are used in screening colonoscopy; however, no stud...

The evolving therapeutic landscape of Graves' disease in adults: present and future.

The therapeutic landscape of Graves' hyperthyroidism has been rapidly evolving in the past few years...

Addressing bias in biomarker discovery for inflammatory bowel diseases: A multi-faceted analytical approach.

Xiang-Guang et al. investigate the identification of novel biomarkers linked to M1 macrophage infilt...

Non-invasive tests of fibrosis in the management of MASLD: revolutionising diagnosis, progression and regression monitoring.

With the recent conditional approval of resmetirom by the US Food and Drug Administration, the treat...

Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models.

Colorectal cancer (CRC) is a significant global health concern, and early detection through screenin...

Identification of a 10-species microbial signature of inflammatory bowel disease by machine learning and external validation.

Genetic and microbial factors influence inflammatory bowel disease (IBD), prompting our study on non...

Mapping the colon through the colonoscope's coordinates - The Copenhagen Colonoscopy Coordinate Database.

Colonoscopy is the leading endoscopic technique when it comes to implementing artificial intelligenc...

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