AI-ECG to Detect Cardiac Amyloidosis: Strengths, Limitations, and Future Directions

In this episode of the “Mayo Clinic Cardiovascular CME” podcast, David Harmon Jr., M.D., a cardiology fellow at Mayo Clinic, joins host Anthony Kashou, M.D., to discuss the use of AI-ECG in detecting cardiac amyloidosis. Dr. Harmon shares insights into the background and rationale behind utilizing AI-ECG for cardiac amyloidosis screening, highlighting its potential strengths. The conversation also delves into the surprising results obtained from the validation study, showcasing the efficacy of AI-ECG in identifying cardiac amyloidosis. Dr. Harmon addresses the limitations and challenges encountered during this work, emphasizing the need for further research. The discussion explores the future directions for the algorithm, shedding light on the potential advancements in the field.

Highlights from the episode include:

• Insights on the development and functioning of AI-powered ECG digitization.
• Strategies to address current challenges in automated ECG interpretation.
• Discussion on the future of AI-powered ECG interpretation in cardiovascular diagnosis and management.

Listen to the full episode here.

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