Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study

Authors: Andrew Lin, MBBS, Nipun Manral, MSc, Priscilla McElhinney, BSc, Aditya Killekar, MSc, Hidenari Matsumoto, MD, Jacek Kwiecinski, MD, Konrad Pieszko, MD, Aryabod Razipour, MD, Kajetan Grodecki, MD, Caroline Park, BSc, Yuka Otaki, MD, Mhairi Doris, MD, Alan C Kwan, MD, Donghee Han, MD, Keiichiro Kuronuma, MD, Guadalupe Flores Tomasino, MD, Evangelos Tzolos, MD, Aakash Shanbhag, MSc, Markus Goeller, MD, Mohamed Marwan, MD, Heidi Gransar, MS, Balaji K Tamarappoo, MD, Sebastien Cadet, MSc, Stephan Achenbach, ProfMD, Stephen J Nicholls, ProfMBBS, Dennis T Wong, MBBS, Daniel S Berman, MD, Marc Dweck, ProfMBChB, David E Newby, ProfMD, Michelle C Williams, MBChB, Piotr J Slomka, ProfPhD, Damini Dey, ProfPhD

Source: The Lancet: Digital Health, Vol 4, Iss 4, Pp e256-e265 (2022)

Subject Terms: Computer applications to medicine. Medical informatics, R858-859.7

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S258975002200022X; https://doaj.org/toc/2589-7500

Access URL: https://doaj.org/article/b80b516fca714f98a8316551f6287ceb