«Using machine learning, clinicians may be able to choose which imaging test to use for patients who may have coronary artery disease, a condition caused by plaque buildup in the arterial wall.

Yale researchers describe the machine learning tool, called ASSIST, in a study published in the European Heart Journal. The algorithm aims to focus on the long-term outcome for a given patient.»

Article written by  Jessica Kent



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