Work

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

Year: 2025

Type: article

Study design: Observational Study

Source: The International Journal of Cardiovascular Imaging

DOI: 10.1007/s10554-025-03366-1

Authors: Amr Idris, Mahdi Hurreh, Thomas Knickelbine, João L. Cavalcante, John R. Lesser, Michael D. Miedema, Jonathan Urbach, Marc C. Newell, Melissa Aquino, Victor Y. Cheng

Institutions: University of Kentucky, King's Daughters Medical Center, Abbott Northwestern Hospital, Minneapolis Heart Institute Foundation

Language: English

Topic: Cardiac Imaging and Diagnostics

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4408042433

FWCI: 1.236

Cites: 19

Cited by: 3

Related to: 10