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Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction

   
@article{CDT125581,
	author = {Jiesuck Park and Jaeik Jeon and Yeonyee E. Yoon and Yeonggul Jang and Jiyeon Kim and Dawun Jeong and Jina Lee and Youngtaek Hong and Seongmin Ha and Arsanjani Reza and Hyung-Bok Park and Seung-Ah Lee and Hyejung Choi and Hong-Mi Choi and In-Chang Hwang and Goo-Yeong Cho and Hyuk-Jae Chang},
	title = {Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction},
	journal = {Cardiovascular Diagnosis and Therapy},
	volume = {14},
	number = {3},
	year = {2024},
	keywords = {},
	abstract = {},
	issn = {2223-3660},	url = {https://cdt.amegroups.org/article/view/125581}
}