MA, K., MT, A., CN, K., KA, A., N, B. A., IG, S., . . . R, A. (2024). How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges. Journal of cardiovascular development and disease, 11(4), . https://doi.org/10.3390/jcdd11040118
Chicago Style (17th ed.) CitationMA, Kamel, et al. "How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges." Journal of Cardiovascular Development and Disease 11, no. 4 (2024). https://doi.org/10.3390/jcdd11040118.
MLA (9th ed.) CitationMA, Kamel, et al. "How Artificial Intelligence Can Enhance the Diagnosis of Cardiac Amyloidosis: A Review of Recent Advances and Challenges." Journal of Cardiovascular Development and Disease, vol. 11, no. 4, 2024, https://doi.org/10.3390/jcdd11040118.