Fine-Tuning Large Language Models for Specialized Use Cases by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, Paul A. Friedman, MD, Zachi I. Attia, PhD

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Ten‐Year Trend of Oral Anticoagulation Use in Postoperative and Nonpostoperative Atrial Fibrillation in Routine Clinical Practice by Xiaoxi Yao, Holly K. Van Houten, Konstantinos C. Siontis, Paul A. Friedman, Robert D. McBane, Bernard J. Gersh, Peter A. Noseworthy

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Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients by Jacob C. Jentzer, Eunjung Lee, Zachi Attia, Dustin Hillerson, Garvan C. Kane, Francisco Lopez‐Jimenez, Peter A. Noseworthy, Paul A. Friedman, Jae K. Oh

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Role of Biological Age in the Determination of Long‐Term Cause‐Specific Death Following Percutaneous Coronary Interventions by Mandeep Singh, Paul A. Friedman, Rajiv Gulati, Abdallah El Sabbagh, Bradley R. Lewis, Amrit Kanwar, Claire E. Raphael, Mohammed A. Al‐Hijji, Zachi I. Attia, Atta Behfar, James L. Kirkland

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Detection of Undiagnosed Liver Cirrhosis via Artificial Intelligence-Enabled Electrocardiogram (DULCE): Rationale and design of a pragmatic cluster randomized clinical trial by Amy Olofson, Ryan Lennon, Blake Kassmeyer, Kan Liu, Zacchi I. Attia, David Rushlow, Puru Rattan, Joseph C. Ahn, Paul A. Friedman, Alina Allen, Patrick S. Kamath, Vijay H. Shah, Peter A. Noseworthy, Douglas A. Simonetto

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Detection of Right and Left Ventricular Dysfunction in Pediatric Patients Using Artificial Intelligence–Enabled ECGs by Scott Anjewierden, Donnchadh O'Sullivan, Kathryn E. Mangold, Grace Greason, Itzhak Zachi Attia, Francisco Lopez‐Jimenez, Paul A. Friedman, Samuel J. Asirvatham, Jason Anderson, Benjamin W. Eidem, Jonathan N. Johnson, Shisheer Havangi Prakash, Talha Niaz, Malini Madhavan

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Predictors of mortality by an artificial intelligence enhanced electrocardiogram model for cardiac amyloidosis by Jennifer M. Amadio, Martha Grogan, Eli Muchtar, Francisco Lopez‐Jimenez, Zachi I. Attia, Omar AbouEzzeddine, Grace Lin, Surendra Dasari, Suraj Kapa, Daniel D. Borgeson, Paul A. Friedman, Morie A. Gertz, Dennis H. Murphree Jr, Angela Dispenzieri

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AI-Cirrhosis-ECG (ACE) score for predicting decompensation and liver outcomes by Joseph C. Ahn, Puru Rattan, Patrick Starlinger, Adrià Juanola, Maria José Moreta, Jordi Colmenero, Bashar Aqel, Andrew P. Keaveny, Aidan F. Mullan, Kan Liu, Zachi I. Attia, Alina M. Allen, Paul A. Friedman, Vijay H. Shah, Peter A. Noseworthy, Julie K. Heimbach, Patrick S. Kamath, Pere Gines, Douglas A. Simonetto

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A multicenter pragmatic implementation study of AI-ECG-based clinical decision support software to identify low LVEF: Clinical trial design and methods by Francisco Lopez-Jimenez, Heather M. Alger, Zachi I. Attia, Barbara Barry, Ranee Chatterjee, Rowena Dolor, Paul A. Friedman, Stephen J. Greene, Jason Greenwood, Vinay Gundurao, Sarah Hackett, Prerak Jain, Anja Kinaszczuk, Ketan Mehta, Jason O'Grady, Ambarish Pandey, Christopher Pullins, Arjun R. Puranik, Mohan Krishna Ranganathan, David Rushlow, Mark Stampehl, Vinayak Subramanian, Kitzner Vassor, Xuan Zhu, Samir Awasthi

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Artificial Intelligence–Derived Electrocardiographic Age Predicts Mortality in Adults With Congenital Heart Disease by Scott Anjewierden, MD, Donnchadh O'Sullivan, MB, BCh, BAO, Kathryn E. Mangold, PhD, Itzhak Zachi Attia, PhD, Francisco Lopez-Jimenez, MD, Paul A. Friedman, MD, Alexander C. Egbe, MBBS, MPH, Heidi M. Connolly, MD, William R. Miranda, MD, Samuel J. Asirvatham, MD, Jennifer Dugan, Katia Bravo-Jaimes, MD, Talha Niaz, MBBS, Malini Madhavan, MBBS, Luke J. Burchill, MBBS, PhD

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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

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