Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Artificial intelligence (AI) is set to transform the field of colonoscopy through the implementation...
BACKGROUND AND AIMS: Multiple computer-aided detection (CADe) software programs have now achieved re...
Artificial intelligence (AI) is being increasingly studied and implemented in gastroenterology. In i...
The broad use of artificial intelligence (AI) and its various applications have already shown signif...
Deep learning shows promise for medical image segmentation but suffers performance declines when app...
Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopat...
BACKGROUND: Decentralized federated learning (DFL) may serve as a useful framework for machine learn...
Standard-of-care (SoC) imaging for assessing colorectal polyps during colonoscopy, based on white-li...
Transcriptomic analyses have advanced the understanding of complex disease pathophysiology including...
This study investigates the efficacy of predicting age-related macular degeneration (AMD) activity t...
Early screening is crucial in reducing the mortality of colorectal cancer (CRC). Current screening m...
Decisions about when to change antidepressant treatment are complex and benefit from accurate predic...
Among the most common cancers, colorectal cancer (CRC) has a high death rate. The best way to screen...
BACKGROUND AND AIMS: Inflammatory bowel disease (IBD) is a global disease that is evolving with incr...
OBJECTIVES: Interpatient variability in bipolar I depression (BP-D) symptoms challenges the ability ...
BACKGROUND AND AIMS: One-fourth of colorectal neoplasia is missed at screening colonoscopy, represen...
OBJECTIVE: A capsule robot (CR) with an onboard active locomotion mechanism, has been developed as a...
BACKGROUND AND AIMS: Cecal intubation in colonoscopy relies on self-reporting. We developed an artif...
AIM: To investigate oscillatory networks in bipolar depression, effects of a home-based tDCS treatme...
BACKGROUND: Predicting mortality and relapse in children with acute lymphoblastic leukemia (ALL) is ...
Traditional methods for identifying endocrine-disrupting chemicals (EDCs) that activate androgen rec...