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New digital decision-aiding tool to personalize choice of test for patients with chest pain The choice between two non-invasive diagnostic tests is a common dilemma in patients who present with chest pain. Yale cardiologist Rohan Khera, MD, MS, and colleagues have developed ASSIST ©, a new digital decision-aiding tool. By applying machine learning techniques to data from two large clinical trials, this new tool identifies which imaging test to pursue in patients who may have coronary artery disease or CAD, a condition caused by plaque buildup in the arterial wall. The new tool, described in a study published April 21 in the

United statesRohan kheraEvangelos oikonomouEmily hendersonYale school of medicineYale office of cooperate researchNational heartBlood instituteEuropean heart journalYale schoolInternal medicineYale innovation summitYale officeCooperate researchஒன்றுபட்டது மாநிலங்களில்ரோஹன் கேரா