Artificial Intelligence Helps Predict Myocardial Infarction, Stroke

February 15, 2020
Artificial intelligence (AI) has been used for the first time to instantly and accurately measure blood flow, according to a study published in Circulation. The results were found to be able to predict chances of death, myocardial infarction (MI), and stroke, and can be used by doctors to help recommend treatments which could improve a patient’s blood flow. International guidelines recommend a number of assessments to measure a patient’s blood flow, but many are invasive and carry a risk. Non-invasive blood flow assessments, such as cardiovascular magnetic resonance (CMR) imaging, but up until now, the images have been incredibly difficult to analyse in a manner precise enough to deliver a prognosis or recommend treatment. For the current study, Kristopher Knott, MD, University College London Institute of Cardiovascular Science, London, United Kingdom, and colleagues took routine CMR scans from more than 1,000 patients treated at 2 UK hospitals and used a new automated artificial intelligence technique to analyse the images. By doing this, the researchers were able to precisely and instantaneously quantify the blood flow to the heart muscle and deliver the measurements to the medical teams treating the patients. By comparing the AI-generated blood flow results with the health outcomes of each patient, the team found that the patients with reduced blood flow were more likely to have adverse health outcomes including death, MI, stroke, and heart failure. The AI technique was able to predict which patients might die or suffer major adverse events, better than a doctor could on their own with traditional approaches. “The predictive power and reliability of the AI was impressive and easy to implement within a patient’s routine care,” said Dr. Knott. “The calculations were happening as the patients were being scanned, and the results were immediately delivered to doctors. As poor blood flow is treatable, these better predictions ultimately lead to better patient care, as well as giving us new insights into how the heart works.” Reference: SOURCE: University College London