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Apr 30, 2021 12:19pm Researchers at Kaiser Permanente wanted to study the predictors of valvular heart disease and looked at whether they could train AI software to spot which patients have valvular heart disease by studying echocardiogram reports. (Kaiser Permanente)(Ted Eytan/CC BY-SA 2.0) Kaiser Permanente is exploring the use of artificial intelligence to cull through doctors’ medical reports and help identify patients with aortic stenosis, a common heart valve disease, and other chronic health conditions. As part of ongoing research into the predictors of valvular heart disease, researchers looked at whether they could train AI software to spot which patients have valvular heart disease by studying echocardiogram reports, according to Matthew Solomon, M.D., Ph.D., a physician researcher with the Kaiser Permanente Division of Research and a cardiologist.

Iqvia linguamaticsKaiser permanenteKaiser permanente northern california clinical trials programPermanente medical groupAmerican college of cardiologyCardiovascular digital health journalDivision of researchMatthew solomonDelivery scienceApplied researchPhysician researcher programsKaiser permanente northern californiaAmerican collegeகைசர் நிரந்தரநிரந்தர மருத்துவ குழுஅமெரிக்கன் கல்லூரி ஆஃப் இருதயவியல்