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877 published stories · page 58 of 59

Clinical Impact of Artificial Intelligence-Based Triage Systems in Emergency Departments: A Systematic Review

Emergency departments (EDs) worldwide face increasing pressure to optimize triage processes amidst rising patient volumes and resource constraints. Artificial intelligence (AI) has emerged as a potential solution to enhance triage accuracy and efficiency, yet its real-world clinical impact remains inadequately characterized. We conducted a systematic review following Preferred Reporting Items f...

Health
Clinical Impact of Artificial Intelligence-Based Triage Systems in Emergency Departments: A Systematic Review

Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

Background Medical history-taking is a core clinical skill; yet, traditional teaching methods face challenges. We developed an artificial intelligence–powered medical history-taking training and evaluation system (AMTES) and established its technical feasibility as an extracurricular resource. Evidence on whether such tools improve learning outcomes when voluntarily embedded in routine curricul...

Health
Real-World Impact and Educational Effectiveness of an AI-Powered Medical History-Taking System: Retrospective Propensity Score-Matched Cohort Study

966-P: Real-World Impact of AI-driven CGM Platform on Glycemic Status in Type 2 Diabetes—A Retrospective Study

Introduction and Objective: Artificial intelligence (AI)-powered diabetes management platforms integrating CGM technology represent a promising advancement in healthcare. This study evaluates the effectiveness of AI-integrated SDRMP platform in improving glycemic control. Methods: A 100-day retrospective study of 1752 individuals (1357 male, 395 female; mean age 50.22±11.33 years) assessed the...

Health
966-P: Real-World Impact of AI-driven CGM Platform on Glycemic Status in Type 2 Diabetes—A Retrospective Study

Bias in artificial intelligence: smart solutions for detection, mitigation, and ethical strategies in real-world applications

Artificial intelligence (AI) technologies have revolutionized numerous sectors, enhancing efficiency, innovation, and convenience. However, AI's rise has highlighted a critical concern: bias within AI algorithms. This study uses a systematic literature review and analysis of real-world case studies to explore the forms, underlying causes, and methods for detecting and mitigating bias in AI. We ...

Other
Bias in artificial intelligence: smart solutions for detection, mitigation, and ethical strategies in real-world applications

From the old to the new generation of a product : unlearn, improve, and prosper

Purpose Drawing on the theories of planned obsolescence and dynamic capabilities, this study aims to jointly address marketing and organizational aspects of the transition from the existing to the new generation of a product (i.e. a product rollover). It conceptualizes the relevance of organizational unlearning in rollovers and relates it to the improvement in the marketing mix of multigenerati...

Other
From the old to the new generation of a product : unlearn, improve, and prosper

"AI-INTEGRATED LEARNING MANAGEMENT SYSTEMS (LMS) : IMPACT ON PRIMARY SCHOOL STUDENT'S ACADEMIC PERFORMANCE"

This study investigates the effectiveness of Artificial Intelligence (AI)-enhanced Learning Management Systems (LMS) in improving academic achievement, engagement, and critical thinking among primary school students. Despite growing adoption of AI tools in educational settings, findings reveal limited measurable benefits at the primary level. A mixed-method, cross-sectional design was employed ...

Education
"AI-INTEGRATED LEARNING MANAGEMENT SYSTEMS (LMS) : IMPACT ON PRIMARY SCHOOL STUDENT'S ACADEMIC PERFORMANCE"