APA (7th ed.) Citation

Dooley, S., Ammar, M., Al-Roub, N., Angell-James, C., Yanamala, N., Sengupta, P. P., & Strom, J. B. (2024). UTILIZATION OF ARTIFICIAL INTELLIGENCE MODEL TO IMPROVE RISK STRATIFICATION IN LOWFLOW, LOW-GRADIENT AORTIC STENOSIS AMONG MEDICARE BENEFICIARIES. Journal of the American College of Cardiology (JACC), 83(13), 1500. https://doi.org/10.1016/S0735-1097(24)03490-9

Chicago Style (17th ed.) Citation

Dooley, Sean, Mohammed Ammar, Nora Al-Roub, Constance Angell-James, Naveena Yanamala, Partho P. Sengupta, and Jordan B. Strom. "UTILIZATION OF ARTIFICIAL INTELLIGENCE MODEL TO IMPROVE RISK STRATIFICATION IN LOWFLOW, LOW-GRADIENT AORTIC STENOSIS AMONG MEDICARE BENEFICIARIES." Journal of the American College of Cardiology (JACC) 83, no. 13 (2024): 1500. https://doi.org/10.1016/S0735-1097(24)03490-9.

MLA (9th ed.) Citation

Dooley, Sean, et al. "UTILIZATION OF ARTIFICIAL INTELLIGENCE MODEL TO IMPROVE RISK STRATIFICATION IN LOWFLOW, LOW-GRADIENT AORTIC STENOSIS AMONG MEDICARE BENEFICIARIES." Journal of the American College of Cardiology (JACC), vol. 83, no. 13, 2024, p. 1500, https://doi.org/10.1016/S0735-1097(24)03490-9.