Artificial Intelligence in Cardiovascular Care—Part 2: Applications

Author:

Jain Sneha S.ORCID,Elias Pierre,Poterucha Timothy,Randazzo Michael,Lopez Jimenez Francisco,Khera Rohan,Perez Marco,Ouyang DavidORCID,Pirruccello JamesORCID,Salerno Michael,Einstein Andrew J.ORCID,Avram RobertORCID,Tison Geoffrey H.ORCID,Nadkarni Girish,Natarajan Vivek,Pierson Emma,Beecy Ashley,Kumaraiah Deepa,Haggerty ChrisORCID,Avari Silva Jennifer N.ORCID,Maddox Thomas M.

Publisher

Elsevier BV

Reference76 articles.

1. Artificial intelligence for cardiac imaging-genetics research;de Marvao;Front Cardiovasc Med,2019

2. Cross-modal autoencoder framework learns holistic representations of cardiovascular state;Radhakrishnan;Nat Commun,2023

3. Learning to exploit temporal structure for biomedical vision-language processing;Bannur;arXiv [csCV],2023

4. CheXstray: Real-time multi-modal data concordance for drift detection in medical imaging AI;Soin;arXiv [eessIV],2022

5. Multimodal deep learning enhances diagnostic precision in left ventricular hypertrophy;Soto;Eur Heart J Digit Health,2022

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