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Multimodal Fusion Artificial Intelligence Model to Predict Risk for MACE and Myocarditis in Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy.

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Bibliographic Details
Title: Multimodal Fusion Artificial Intelligence Model to Predict Risk for MACE and Myocarditis in Cancer Patients Receiving Immune Checkpoint Inhibitor Therapy.
Authors: Ayoub C; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Appari L; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA., Pereyra M; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Farina JM; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Chao CJ; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA., Scalia IG; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Mahmoud AK; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Abbas MT; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Baba NA; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Jeong J; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Lester SJ; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Patel BN; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA., Arsanjani R; Department of Cardiovascular Medicine, Mayo Clinic, Phoenix, Arizona, USA., Banerjee I; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA.
Source: JACC. Advances [JACC Adv] 2024 Dec 13; Vol. 4 (1), pp. 101435. Date of Electronic Publication: 2024 Dec 13 (Print Publication: 2025).
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
Description
ISSN:2772-963X
DOI:10.1016/j.jacadv.2024.101435