Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …

Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …

In the present study, we aimed to quantify the effects of COVID-19 restrictions and speech
treatment approaches during lockdowns on autistic children using CBCL and neuro-fuzzy …

Owing to advances in genomics that enable differentiation of molecular aetiologies, patients
with monogenic inflammatory bowel disease (mIBD) potentially have access to genotype …

Ulcerative colitis is a chronic inflammatory bowel disease that is characterized by a
relapsing and remitting course. Assessment of disease activity critically informs treatment …

Background Assessment of endoscopic activity in ulcerative colitis (UC) is important for
treatment decisions and monitoring disease progress. However, substantial inter-and …

Inflammatory bowel disease (IBD) is a complex chronic immune disease with two subtypes:
Crohn's disease and ulcerative colitis. Considering the differences in pathogenesis, etiology …

Background and Aims Publicly available databases containing colonoscopic imaging data
are valuable resources for artificial intelligence (AI) research. Currently, little is known …

Ulcerative colitis (UC) is a chronic inflammatory bowel disease primarily affecting the colon
and rectum. Endoscopy plays a crucial role in the diagnosis and management of UC. Recent …

Abstract Backgrounds and Aims Mucosal healing (MH) in inflammatory bowel diseases
(IBD) is an important landmark for clinical decision making. Artificial intelligence systems (AI) …