Deep learning may improve triaging of people with acute chest pain, study shows

The symptoms can be caused by acute coronary syndrome, pulmonary embolism or aortic dissection, but only a minority of patients who present with ACP are diagnosed with those serious cardiovascular conditions. As such, physicians need to take all cases of ACP very seriously despite the fact that most patients are low risk. Researchers at Massachusetts General Hospital identified deep learning as a potential way to identify high-risk patients and thereby accelerate diagnosis while improving the use of resources. The project centered on the chest radiographs that ACP patients often undergo early in the care pathway. By applying deep learning to the images, the collaborators trained a model to identify signs in the scans that a person may have one of the cardiovascular conditions.