PRIME 2.0: An Update to The Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation Checklist

By afschroeder • September 3, 2025

Kagiyama N, Tokodi M, Hathaway QA, Arnaout R, Davies R, Dey D, Duchateau N, Fraser AG, Goto S, Jamthikar AD, Lam CSP, Oikonomou EK, Ouyang D, Pandey A, Poterucha TJ, Raisi-Estabragh Z, Strom JB, Zhang Q, Yanamala N, Sengupta PP. PRIME 2.0: An Update to The Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation Checklist. JACC Cardiovasc Imaging. 2025 Aug 18:S1936-878X(25)00466-8. doi: 10.1016/j.jcmg.2025.08.004. Epub ahead of print. PMID: 40892627.

Tags: Artificial intelligence, biomedical sciences, Cardiology/Epi, cardiovascular imaging, Cedars Sinai DoM, Clinical Validation, Deep learning, Large language models, Model Development, Multimodal Generative AI, PRIME 2.0 Checklist, Publications, Transparency and Reproducibility

Median Survival Among Patients Hospitalized for Heart Failure with Reduced Ejection Fraction Prescribed Quadruple Medical Therapy

Greene SJ, Xu H, Chiswell K, Felker GM, Lewsey SC, Divanji PH, Goertz HP, Heitner SB, Butler J, Fonarow GC. Median Survival Among Patients Hospitalized[...]

Adult congenital cardiac interventional training, competencies, and organization. A Statement of the ESC ACHD Working Group, the EAPCI, the AEPC, and the PICS-Society

Chessa M, Brida M, Budts W, Chieffo A, Dua J, Kaleschke G, Kempny A, Kenny D, Krasemann T, Rahbek Schmidt M, Aboulhosn J. Adult congenital[...]

Comprehensive macroscopic living anatomy of the swine heart: comparative visual approach with virtual dissection

Rios KP, Moussa AM, Rios HA, Rimmer M, Miyazaki Y, Aoyama D, Aladham RN, Defelice LG, Hanna P, Hayase JH, Chung WH, Xu S, Ajijola[...]