Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition

JACC Basic Transl Sci. 2021 Dec 27;6(12):961-963. doi: 10.1016/j.jacbts.2021.10.016. eCollection 2021 Dec.

Authors

Eric A Osborn¹, Nicholas E Houstis², Farouc A Jaffer²

Affiliations

¹ Cardiology Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
² Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

No abstract available

Keywords: artificial intelligence; coronary artery disease; fluorescence lifetime; optical coherence tomography.

Publication types

Editorial

Grants and funding

R01 HL150538/HL/NHLBI NIH HHS/United States