Aims The future dental and endodontic education must adapt to the current digitalized
healthcare system in a hyper-connected world. The purpose of this scoping review was to …

Precision and personalized medicine, the process by which patient management is tailored
to individual circumstances, are now terms that are familiar to cardiologists despite still being …

Diabetic retinopathy can be prevented with screening and early detection. We hypothesized
that autonomous artificial intelligence (AI) diabetic eye exams at the point-of-care would …

Importance Safe integration of artificial intelligence (AI) into clinical settings often requires
randomized clinical trials (RCT) to compare AI efficacy with conventional care. Diabetic …

Autonomous artificial intelligence (AI) for pediatric diabetic retinal disease (DRD) screening
has demonstrated safety, effectiveness, and the potential to enhance health equity and …

The adoption of advanced artificial intelligence (AI) systems in healthcare is transforming the
healthcare-delivery landscape. Artificial intelligence may enhance patient safety and …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of
medicine. Healthcare organizations are now starting to establish management strategies for …

Computing power, or" compute," is crucial for the development and deployment of artificial
intelligence (AI) capabilities. As a result, governments and companies have started to …

Abstract Where adopted, Autonomous artificial Intelligence (AI) for Diabetic Retinal Disease
(DRD) resolves longstanding racial, ethnic, and socioeconomic disparities, but AI adoption …

The utilization of artificial intelligence (AI) in diabetes care has focused on early intervention
and treatment management. Notably, usage has expanded to predict an individual's risk for …