AI echo INSIGHT study: A prospective blinded randomized trial of artificial intelligence echocardiogram...

Area of Science:

• Cardiology
• Medical Imaging
• Artificial Intelligence

Background:

• Transthoracic echocardiography (TTE) is a widely used cardiac imaging technique, with over 30 million annual studies.
• Increasing demand for TTE interpretation outstrips expert capacity, leading to diagnostic delays and variability.
• Artificial intelligence (AI) shows promise in generating preliminary TTE reports, necessitating prospective evaluation.

Purpose of the Study:

• To evaluate the clinical impact of AI-assisted TTE interpretation.
• To determine if AI improves clinician efficiency while maintaining diagnostic accuracy.
• To assess reporting consistency in real-world echocardiography workflows.

Main Methods:

• A prospective, randomized, blinded clinical trial (AI ECHO INSIGHT) involving 1200 TTE studies.
• Comparison of three workflows: AI-assisted, cardiologist-assisted, and sonographer-assisted interpretation.
• Primary outcome: rate of substantial change between preliminary and final reports; secondary outcomes: interpretation time, diagnostic accuracy, and consistency.

Main Results:

• The AI ECHO INSIGHT trial will compare the AI-assisted workflow against pooled cardiologist- and sonographer-assisted workflows.
• Key metrics include changes in preliminary vs. final reports, interpretation time, diagnostic accuracy, and reporting consistency.
• Results will indicate the real-world effectiveness of AI in TTE interpretation.

Conclusions:

• AI ECHO INSIGHT is a clinical trial assessing AI's role in TTE interpretation.
• The study will provide insights into AI's impact on diagnostic accuracy, efficiency, and consistency.
• Findings will inform the integration of AI into clinical echocardiography practices.