The future of coronary heart disease

February 27
36 mins

Episode Description

Heart disease should be treated just like cancer, says guest Mike McConnell, an author and expert in preventive cardiology at Stanford: Detect and stage early, then treat aggressively. In his practice, McConnell focuses on using low-dose CT imaging for detecting early coronary artery disease. He also helped pioneer the use of AI to infer cardiovascular risk from retinal scans. Such non-invasive, consumer-friendly tools could expand prevention, personalize therapy, and cut heart attacks and strokes across the board, he says. “Everybody also deserves a proactive preventive cardiologist in their phone,” McConnell tells host Russ Altman of the latest approaches to heart disease on this episode of Stanford Engineering’s The Future of Everything podcast.

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Chapters:

(00:00:00) Introduction

Russ Altman introduces guest Michael McConnell, a professor of cardiology at Stanford University.

(00:03:02) Reframing Heart Disease

Why coronary disease should be approached the same as cancer.

(00:05:46) Core Risk Factors

The key drivers of cardiovascular disease, and life’s essential eight.

(00:07:18) Coronary Artery Calcium Scoring

How low-dose CT scanning detects disease before symptoms develop.

(00:08:57) The Limits of Stress Testing

Why traditional stress tests often miss early coronary disease.

(00:10:18) AI in Cardiac Imaging

Using AI to identify hidden risks in routine chest scans.

(00:11:30) Retinal Imaging

How AI analysis of retinal blood vessels can predict heart disease risk.

(00:14:55) Detecting Risk Before Symptoms

Why retinal and vascular changes occur long before clinical signs appear.

(00:15:58) Staging Coronary Disease

Using calcium scores to stage coronary disease and personalize treatment.

(00:19:36) Direct-to-Consumer Prevention

The rise of mobile health records, wearable devices, and AI tools.

(00:22:23) Opportunities & System Challenges

Balancing accessibility, guideline-based care, and healthcare system capacity.

(00:25:26) AI-Powered Health Record Analysis

The potential of automated reviews to identify silent risk factors.

(00:27:41) Physician Adoption & System Friction

Barriers to integrating early detection tools into clinical practice.

(00:30:12) Advances in Treatment

Overview of current cholesterol therapies and plaque stabilization.

(00:33:31) Future In a Minute

Rapid-fire Q&A: prevention, implementation science, and future hopes.

(00:35:38) Conclusion

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