Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study
Titel:
Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study
Auteur:
Idris, Amr Hurreh, Mahdi Knickelbine, Thomas Cavalcante, João L. Lesser, John R. Miedema, Michael D. Urbach, Jonathan Newell, Marc C. Aquino, Melissa Cheng, Victor Y.
Verschenen in:
The international journal of cardiovascular imaging