AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI.
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| Title: | AI-Enabled CT Cardiac Chamber Volumetry Predicts Atrial Fibrillation and Stroke Comparable to MRI. |
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| Authors: | Naghavi M; HeartLung.AI, Houston, Texas, USA., Reeves AP; Department of Electrical and Computer Engineering, Cornell University, New York, USA., Atlas KC; HeartLung.AI, Houston, Texas, USA., Zhang C; HeartLung.AI, Houston, Texas, USA., Li D; Division of Cardiology, The Lundquist Institute, Torrance, California, USA., Atlas T; Department of Radiology, Tustin Teleradiology, Tustin, California, USA., Henschke CI; Department of Radiology, Mount Sinai Hospital, New York, New York, USA., Wong ND; Heart Disease Prevention Program, Division of Cardiology, University of California, Irvine, California, USA., Roy SK; Division of Cardiology, The Lundquist Institute, Torrance, California, USA., Budoff MJ; Division of Cardiology, The Lundquist Institute, Torrance, California, USA., Yankelevitz DF; Department of Radiology, Mount Sinai Hospital, New York, New York, USA. |
| Source: | JACC. Advances [JACC Adv] 2024 Nov 15; Vol. 3 (11), pp. 101300. Date of Electronic Publication: 2024 Nov 15 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918419284106676 Publication Model: eCollection Cited Medium: Internet ISSN: 2772-963X (Electronic) Linking ISSN: 2772963X NLM ISO Abbreviation: JACC Adv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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