Latest AI and machine learning research in inflammatory bowel disease for healthcare professionals.
Patients with inflammatory bowel disease (IBD) undergo regular colonoscopic surveillance due to thei...
OBJECTIVE: To examine whether the outputs of machine learning algorithms designed to predict risk of...
Clinical and epidemiological evidence demonstrates a robust bidirectional link between inflammatory ...
Predictive modeling of biologic drug response using transcriptomic data is challenged by strong plat...
Early-onset preeclampsia (EOPE) is a pregnancy disorder characterized by abnormal placental developm...
BACKGROUND: Colorectal cancer remains a leading cause of death despite being largely preventable thr...
BACKGROUND: The prognostic relevance of inflammatory bowel disease (IBD)-colorectal cancer (CRC) sha...
Emerging evidence links reactive oxygen species modulator 1 (ROMO1), a key mitochondrial ROS regulat...
N- (1,3-Dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q), a tire rubber antioxidant deri...
Machine learning (ML) is increasingly utilized in medical research. However, underrecognized methodo...
BACKGROUND: Outcome prediction after Gamma Knife radiosurgery (GKRS) for pituitary adenomas remains ...
Rheumatoid arthritis (RA) patients face increased cardiovascular (CV) risk, yet existing 10-year est...
BACKGROUND: Major depressive disorder exists along a continuum, from health through remission to act...
BACKGROUND: Optimal bowel preparation (BP) is crucial for a successful colonoscopy. Although multipl...
Heart failure (HF) remains a major cause of morbidity, mortality, impaired quality of life and healt...
The therapeutic landscape of haematological malignancies has evolved rapidly with the introduction o...
BACKGROUND: The management of severe asthma with biologics has become more complex involving multidi...
Butyrylcholinesterase (BChE) plays a key role in preserving appropriate cholinergic neurotransmissio...
Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative treatment option for a ...
OBJECTIVE: To compare the ability of large language models (LLMs) and otolaryngologists to identify ...