Clinical service evaluation of the feasibility and reproducibility of novel artificial intelligence based-echocardiographic quantification of global longitudinal strain and left ventricular ejection fraction in trastuzumab-treated patients

J. Jiang, B. Liu, Y Li, S. S. Hothi*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

86 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Clinical service evaluation of the feasibility and reproducibility of novel artificial intelligence based-echocardiographic quantification of global longitudinal strain and left ventricular ejection fraction in trastuzumab-treated patients'. Together they form a unique fingerprint.

Keyphrases

Medicine and Dentistry

Pharmacology, Toxicology and Pharmaceutical Science