Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at Weill Cornell Medicine, Cornell Tech, Cornell Ann S. Bowers College of Computing and Information Science, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian—offers the prospect of better care for many thousands of patients who may be overlooked due to the difficulty of diagnosing their condition.
This article was originally published on MedicalXpress.com
