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Machine Learning and Artificial Intelligence Models for Predicting Clinical Outcomes after Thoracic and Complex Endovascular Aortic Repair: A Systematic Review
Review Article - Volume: 2, Issue: 1, 2026(June)
Machine Learning and Artificial Intelligence Models for Predicting Clinical Outcomes after Thoracic and Complex Endovascular Aortic Repair: A Systematic Review Download PDF
*Correspondence to: , Prince Hamza Hospital, Amman, Jordan, E-Mail:
Received: June 04, 2026; Manuscript No: ; Editor Assigned: June 06, 2026; PreQc No: (PQ); Reviewed: June 12, 2026; Revised: June 15, 2026; Manuscript No: (R); Published: June 30, 2026

Citation: Mahadin M, Shaik S, Mujahid MUF, Abuzaid L, Imtiaz A, et al (2026). Machine Learning and Artificial Intelligence Models for Predicting Clinical Outcomes after Thoracic and Complex Endovascular Aortic Repair: A Systematic Review. J. Cardiol. Heart Fail. Vol.2 Iss.1, June (2026), pp:64-71.
Copyright: © 2026 . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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