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Real-time AI to Influence Clinical Decisions and Practice Towards Evidence-based Care: RAPIDxAI Trial

Can algorithms improve the management of patients with myocardial injury? Is there a tool to aid diagnosing patients faster and more accurately leading to appropriate treatment sooner to optimize results? This study highlights the challenges and opportunities associated with the integration of artificial intelligence (AI) into health care to improve outcomes.

In this interview, Drs. Allen Taylor and Derek Chew discuss the findings of the RAPIDxAI trial: re-engineering the clinical approach to suspected cardiac chest pain assessment in the emergency department by expediting evidence to practice using AI.

Resources

Clinical Topics: Prevention

Keywords: ACCELLite, ESC24