APA (7th ed.) Citation

Muller, S. A., Hauptmann, L., Nitsche, C., & Oerlemans, M. I. (2025). Utilizing artificial intelligence to detect cardiac amyloidosis in patients with severe aortic stenosis: A step forward to diagnose the underdiagnosed. European Journal of Nuclear Medicine & Molecular Imaging, 52(2), 482. https://doi.org/10.1007/s00259-024-06928-y

Chicago Style (17th ed.) Citation

Muller, Steven A., Laurenz Hauptmann, Christian Nitsche, and Marish IFJ Oerlemans. "Utilizing Artificial Intelligence to Detect Cardiac Amyloidosis in Patients with Severe Aortic Stenosis: A Step Forward to Diagnose the Underdiagnosed." European Journal of Nuclear Medicine & Molecular Imaging 52, no. 2 (2025): 482. https://doi.org/10.1007/s00259-024-06928-y.

MLA (9th ed.) Citation

Muller, Steven A., et al. "Utilizing Artificial Intelligence to Detect Cardiac Amyloidosis in Patients with Severe Aortic Stenosis: A Step Forward to Diagnose the Underdiagnosed." European Journal of Nuclear Medicine & Molecular Imaging, vol. 52, no. 2, 2025, p. 482, https://doi.org/10.1007/s00259-024-06928-y.