Artificial Intelligence-Assisted CMR Scanning vs Standard-of-Care: Comparative Analysis of Clinical Benefits From 6,545 Consecutive Studies.

Raymond Y Kwong¹, Benedikt Bernhard², Michael Jerosch-Herold², Leslie K Lee³, Jon Hainer³, Tuan Luu³, Isabela Reis Marques², Marianna Daibes², Bob Hu⁴

¹Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: rykwong@bwh.harvard.edu.

²Cardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

³Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

⁴Vista AI, Palo Alto, California, USA; Department of Electrical Engineering, Stanford University, Stanford, California, USA.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Clinical adoption of cardiovascular magnetic resonance (CMR) is hampered by procedural complexity and magnetic resonance imaging access. OBJECTIVES: The objective of the study was to investigate the benefits of artificial intelligence (AI)-assisted CMR in clinical practice. METHODS: Patients at a tertiary-care center underwent CMR via conventional, operator-directed (ODS) or AI-assis…

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