Episode Details

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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Episode Reference Links:

• Stanford Profile: Michael V. McConnell, MD, MSEE

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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 & Sy