An RL-driven video acquisition policy for echocardiography keeps aortic stenosis classification at 80.6% balanced accuracy while acquiring only 47% of the videos on average.
IEEE Transactions on Medical Imaging 43(1), 366–376 (2024)
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PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis
An RL-driven video acquisition policy for echocardiography keeps aortic stenosis classification at 80.6% balanced accuracy while acquiring only 47% of the videos on average.