Novel Artificial intelligence systems in detecting adenomas in colonoscopy: a systemic review and network meta-analysis.

Background: Artificial intelligence (AI) has the potential to improve adenoma detection rates (ADRs) during colonoscopy, but the efficacy of various AI-assisted systems remains unclear.

Objective: To evaluate and compare the effectiveness of different AI-assisted systems for detecting colorectal neoplasia during colonoscopy.

Design: A systematic literature search of PubMed, Scopus, and Google Scholar databases was conducted up to March 4, 2025, to identify randomized controlled trials (RCTs) comparing AI-assisted colonoscopy to conventional colonoscopy.

Prevalence of Falls and Fractures in Alzheimer's Patients Compared to General Population.

Introduction Alzheimer's disease (AD), found in the aging elderly population, is a progressive neurodegenerative disorder that leads to worsening memory loss and cognitive impairment. Falls and fractures are common in the overall elderly population. Hence, the purpose of this study is to determine the prevalence of falls and fractures in Alzheimer's patients compared to the general population.