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Osborn EA, Houstis NE, Jaffer FA. Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition. JACC Basic Transl Sci. 2021;6(12):961-963doi: 10.1016/j.jacbts.2021.10.016.
Osborn, E. A., Houstis, N. E., & Jaffer, F. A. (2021). Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition. JACC. Basic to translational science, 6(12), 961-963. https://doi.org/10.1016/j.jacbts.2021.10.016
Osborn, Eric A, et al. "Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition." JACC. Basic to translational science vol. 6,12 (2021): 961-963. doi: https://doi.org/10.1016/j.jacbts.2021.10.016
Osborn EA, Houstis NE, Jaffer FA. 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. PMID: 35024501; PMCID: PMC8733742.
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JACC Basic Transl Sci. 2021 Dec 27;6(12):961-963. doi: 10.1016/j.jacbts.2021.10.016. eCollection 2021 Dec.

Synergizing Light and Machine Learning to Comprehensively Reveal Coronary Plaque Composition.

JACC. Basic to translational science

Eric A Osborn, Nicholas E Houstis, Farouc A Jaffer

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.

PMID: 35024501 PMCID: PMC8733742 DOI: 10.1016/j.jacbts.2021.10.016

[No abstract available.]

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

Conflict of interest statement

This work has been supported by NIH/NHLBI K08-HL130465 (EAO), and NIH/NHLBI R01-HL150538 and R01-HL137593 (FAJ). Dr Osborn is a consultant with Abbott Vascular, and Canon, Philips; and a member of the

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