External validation of ECG artificial intelligence for emergency and cardiac assessment across a large-scale U.S. healthcare system

A randomized factorial experiment to optimize the design of a culturally tailored breast cancer screening outreach chatbot intervention

IntroductionThe main objective of this study is to assess the effects of chatbot persona and communication style on trust and intention to use for scheduling

Big data integration for enhanced epidemiological research: insights and directions from NHLBI’s workshop

The landscape of epidemiological research is experiencing a technological transformation, driven by the rapid expansion of big data and advancements in artificial intelligence (AI) and

Trustworthy intelligent rooms: integrating blockchain, federated learning, and data-centric AI for healthcare 4.0

IntroductionIntelligent room systems are experiencing a surge in demand within the Healthcare 4.0 ecosystem. The integration of Federated Learning (FL) and Data-Centric AI has led

Construction of patient trajectories to model clinical trial outcomes: application to myasthenia gravis

IntroductionAccurate prediction of patient outcomes in clinical trials is crucial for the timely assessment of treatment efficacy. This study proposes a novel approach to predict

AI-driven mental health decision support linked to clinician resilience and preparedness

ObjectivesMental health services are facing unprecedented demand, placing significant pressure on clinicians to conduct timely and effective patient assessments. Rising staff turnover and burnout threatens