Automated Detection of Aortic Stenosis Using Machine Learning.

Autor: Wessler BS; CardioVascular Center, Tufts Medical Center, Boston, Massachusetts. Electronic address: bwessler@tuftsmedicalcenter.org., Huang Z; Department of Computer Science, Tufts University, Medford, Massachusetts., Long GM Jr; CVAI Solutions, Dorchester, Massachusetts., Pacifici S; Department of Medicine, Tufts Medical Center, Boston, Massachusetts., Prashar N; Department of Medicine, Tufts Medical Center, Boston, Massachusetts., Karmiy S; Department of Medicine, Tufts Medical Center, Boston, Massachusetts., Sandler RA; iCardio.ai, Los Angeles, California., Sokol JZ; iCardio.ai, Los Angeles, California., Sokol DB; iCardio.ai, Los Angeles, California., Dehn MM; CardioVascular Center, Tufts Medical Center, Boston, Massachusetts., Maslon L; CardioVascular Center, Tufts Medical Center, Boston, Massachusetts., Mai E; CardioVascular Center, Tufts Medical Center, Boston, Massachusetts., Patel AR; CardioVascular Center, Tufts Medical Center, Boston, Massachusetts., Hughes MC; Department of Computer Science, Tufts University, Medford, Massachusetts.

Publikováno v: Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography [J Am Soc Echocardiogr] 2023 Apr; Vol. 36 (4), pp. 411-420. Date of Electronic Publication: 2023 Jan 11.