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

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

Oct 29, 202411 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

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.

Subscribe on Apple Podcasts | Subscribe on Google Play | Subscribe to ACCEL

For the best experience, listen in Metacast app for iOS or Android