Cardiovascular Imaging AI Opportunities
Ed Butler, CuraCloud Vice President of Corporate Development
Following the annual meeting, ESC published new guidelines on the diagnosis and management of chronic coronary syndromes. One of the major new recommendations made by ESC is that Coronary Computed Tomography Angiogram (CCTA) scans are to be used for diagnosing CAD in symptomatic patients in whom obstructive CAD cannot be excluded by clinical assessment alone. This follows the inclusion of coronary artery calcium (CAC) scoring in the 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease announced at the Society for Coronary Computed Tomography in November 2018. Both of these guideline changes were, in part, supported by a 2018 study published in the Journal of the American College of Cardiology (JACC) that found that statins provide no clinical benefit for patients when their coronary artery calcium (CAC) scores are zero.
There are many more opportunities for advanced analytics where machine learning can be applied to the post-processing of diagnostic images for more personalized, precise diagnostics that can lead to better outcomes. The collaboration of medical professionals, computer scientists, and patients is required to accelerate progress. At CuraCloud, we are working with clinicians and scientists to create improved cardiovascular diagnostics that inform crucial clinical decisions.