DiscoverACCEL Lite: Featured ACCEL Interviews on Exciting CV ResearchReal-time AI to Influence Clinical Decisions and Practice Towards Evidence-based Care: RAPIDxAI Trial
Real-time AI to Influence Clinical Decisions and Practice Towards Evidence-based Care: RAPIDxAI Trial

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

Update: 2024-10-29
Share

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. 

Comments 
loading
In Channel
loading
00:00
00:00
1.0x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

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

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