Gastroenterology

Peptic Ulcer Disease

Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.

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ICU Readmission Prediction for Intracerebral Hemorrhage Patients using MIMIC III and MIMIC IV Databases

Intracerebral hemorrhage (ICH) is a critical form of stroke resulting from bleeding within the brain...

Development of a Claims-Based Computable Phenotype for Ulcerative Colitis Flares

Several conditions exist that do not have their own unique diagnosis code in widely-used clinical te...

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the brai...

Transformers Enhance the Predictive Power of Network Medicine

Self-attention mechanisms and token embeddings behind transformers allow the extraction of complex p...

Galar - a large multi-label video capsule endoscopy dataset

Video capsule endoscopy (VCE) is an important technology with many advantages (non-invasive, represe...

Predicting the stage of gastric cancer after gastrectomy based on machine learning algorithms

Gastric cancer (GC) is the fourth most common cause of cancer death worldwide, with a 5-year surviva...

Radiologist-AI workflow can be modified to reduce the risk of medical malpractice claims

Artificial Intelligence (AI) is rapidly changing the legal landscape of radiology. Results from a pr...

CEREBLEED: Automated quantification and severity scoring of intracranial hemorrhage on non-contrast CT

Intracranial hemorrhage (ICH), whether spontaneous or traumatic, is a neurological emergency with hi...

AI-Driven Personalization of Dual Antiplatelet Therapy Duration Post-PCI: A Novel Approach Balancing Ischemic and Bleeding Risks

Precision-guided dual antiplatelet therapy (DAPT) duration post-percutaneous coronary intervention (...

Prompt injection attacks on vision-language models for surgical decision support

Artificial Intelligence-driven analysis of laparoscopic video holds potential to increase the safety...

Artificial Intelligence in Gastrointestinal Endoscopy: A Comprehensive Systematic Review

Artificial intelligence (AI) has emerged as a transformative force in gastrointestinal (GI) endoscop...

Multilevel predictors categorization for post-CABG atrial fibrillation prediction

Postoperative atrial fibrillation (PoAF) is known as common coronary artery bypass grafting (CABG) c...

Prediction-powered Inference for Clinical Trials: application to linear covariate adjustment

Prediction-powered inference (PPI) [1] and its subsequent development called PPI++ [2] provide a nov...

Plasma proteomics of seizure-associated changes in epilepsy

Fluid biomarkers are emerging as crucial markers for diagnosis and disease monitoring in neurology. ...

Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks

The limited availability of diverse and representative training data poses a critical barrier to the...

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