Importance Despite the potential of machine learning to improve multiple aspects of patient
care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a …

Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

Background The number of artificial intelligence (AI) studies in medicine has exponentially
increased recently. However, there is no clear quantification of the clinical benefits of …

Abstract The Consolidated Standards of Reporting Trials extension for Artificial Intelligence
interventions (CONSORT-AI) was published in September 2020. Since its publication …

Artificial intelligence (AI) use in diabetes care is increasingly being explored to personalise
care for people with diabetes and adapt treatments for complex presentations. However, the …

Background Providing comprehensive and individualized diabetes care remains a
significant challenge in the face of the increasing complexity of diabetes management and a …

Background: Despite abundant evidence demonstrating the benefits of continuous glucose
monitoring (CGM) in diabetes management, a significant proportion of people using this …

Introduction Diabetes, a major cause of premature mortality and complications, affects
millions globally, with its prevalence increasing due to lifestyle factors and aging …

OBJECTIVE Achieving optimal glycemic control for many individuals with type 1 diabetes
(T1D) remains challenging, even with the advent of newer management tools, including …

Objective: Artificial intelligence-based decision support systems (DSS) need to provide
decisions that are not inferior to those given by experts in the field. Recommended insulin …