#SCCT2021 (2/5)
AI & ML in #YesCCT: New Frontiers in Atherosclerosis
-The field of #YesCCT has evolved rapidly
-Current CV risk prediction models are inadequate – can AI help?
-Average imager may read > 1 billion pixels per day
-Comprehensive evaluation of atherosclerosis that is challenging, even for expert readers!
-Plaque allows us to understand the spectrum of atherosclerotic risk
-Low stenosis patient may have high plaque volume!
-New future paradigm of AI guided prevention is emerging
-Opportunities to study disease progression
-Potential to better understand Rx non-response
-Ensure rigor-#PRIME
-The future is here!
#AI & ML in #YesCCT: #SCCT2021#Tweetorial (2/7)
1⃣: The big picture & black box by Dr. Michael Lu
-Multiple “black box” definitions
-Explainability
-Predictability
-More accurate than SOC, visualizes output (& modifiable), communicates uncertainty (eg grey-zone FFR-CT)