Med-tech company HeartFlow is using AI and machine learning to combat heart disease. It’s estimated that coronary artery disease is the root cause of nearly 9 million deaths each year. Heart disease is difficult to diagnose because the best test for it was a heart cath —which is both invasive and costly.
The AI Solution
HeartFlow is non-invasive, combining standard CT scans with involved fluid dynamics and deep learning algorithms to capture a 3D image of a patient’s heart. This model gives doctors a detailed view of blockages and blood flow. Creating these 3D models of the heart is a challenge. First an accurate subvoxel model is made. Then the system simulates the flow of blood, through the arteries to reveal any blockages or turbulence.
Because this technology enables physicians to provide precise treatment for each individual patient, it has the potential to greatly improve quality of life. It also means fewer patients will make a trip to cath lab, reducing healthcare costs by approximately 25%.
With a shift to value based medicine, health delivery organizations are looking for ways to decrease waste, lower costs, and improve outcomes. With HeartFlow, physicians make definitive and personalized decisions more quickly and with greater precision, leading to better outcomes for patients.
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