Today, Dr. Ankitkumar Patel kicks off a brand-new mini-series exploring how artificial intelligence is transforming cardiovascular care — from diagnosis to intervention. Jen is out for a few episodes recovering her voice, so you’re stuck with Ankit solo as he dives deep into how AI is reshaping the way we detect coronary artery disease (CAD) and interpret physiology.

In this episode, you’ll learn:

• What Artificial Intelligence actually means in medicine.

• The key differences between AI, machine learning, and deep learning.

• How AI is already being used in cardiology — from AI-ECGs to FFR-CT and wire-free FFRangio.

• What the major landmark studies have shown, including SCOT-HEART, PLATFORM, DeFACTO, FAST-FFR, and the Witberg real-world trial.

• The real-world barriers: data trust, workflow integration, regulation, and why clinicians remain both excited and cautious.

Ankit also discusses how AI improves upon prior limitations in CAD detection — integrating anatomy, physiology, and plaque characterization into one unified view of the heart. AI isn’t replacing cardiologists — it’s enhancing our precision and helping detect disease before it ever causes symptoms.

💡 Myth of the Week:
“AI will replace doctors.”
False! AI amplifies, not replaces, human judgment. It reduces variability and expands expertise — but context and compassion still belong to people.

🎯 Key Takeaways:

1. AI augments expertise — it doesn’t replace it.

2. CCTA with FFR-CT and angiographic AI physiology are transforming CAD detection.

3. Trust, transparency, and training will drive wider adoption.