Artificial intelligence can now map heart blood flow by watching a simple video
Sophisticated algorithms can now analyze standard heart surgery videos to measure blood flow with the same precision as invasive pressure sensors, potentially preventing thousands of unnecessary surgeries every year.
Modern cardiology is undergoing a digital revolution as artificial intelligence learns to interpret coronary angiograms with superhuman precision. By analyzing pixel-level blood flow dynamics in standard medical videos, these neural networks can calculate fractional flow reserve (FFR) without the need for invasive pressure wires. This non-invasive approach matches the accuracy of the gold-standard 'wire test' while reducing procedure times by up to 20 percent and significantly lowering radiation exposure for patients.
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