Computable Phenotypes to Identify Atrial Fibrillation from Electronic Medical Records. - Alanna M. Chamberlain; Peter A. Noseworthy; Lin Y. Chen; Susan A. Weston; Ruoxiang Jiang; Wesley T. O'Neal; Véronique L. Roger; Álvaro Alonso (AMIA, 2018)

Leveraging Electronic Health Records for Identification of Features Associated with Sudden Death for Hypertrophic Cardiomyopathy Patients. - Sungrim Moon; Sijia Liu 002; Sujith Samudrala; Jane L. Shellum; Jeffrey B. Geske; Peter A. Noseworthy; Steve Ommen; Rajeev Chaudhry; Rick Nishimura; Hongfang Liu; Adelaide M. Arruda-Olson (AMIA, 2018)

Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing. - Sungrim Moon; Sijia Liu 002; Christopher Scott; Sujith Samudrala; Mohamed M. Abidian; Jeffrey B. Geske; Peter A. Noseworthy; Jane L. Shellum; Rajeev Chaudhry; Steve Ommen; Rick Nishimura; Hongfang Liu; et al. (Int. J. Medical Informatics, 2019)

Aggregating multiple real-world data sources using a patient-centered health-data-sharing platform. - Sanket S. Dhruva; Joseph S. Ross; Joseph G. Akar; Brittany Caldwell; Karla Childers; Wing Chow; Laura Ciaccio; Paul Coplan; Jun Dong; Hayley J. Dykhoff; Stephen Johnston; Todd Kellogg; et al. (npj Digit. Medicine, 2020)

Feasibility of capturing real-world data from health information technology systems at multiple centers to assess cardiac ablation device outcomes: A fit-for-purpose informatics analysis report. - Guoqian Jiang; Sanket S. Dhruva; Jiajing Chen; Wade L. Schulz; Amit A. Doshi; Peter A. Noseworthy; Shumin Zhang; Yue Yu; Hobart Patrick Young; Eric Brandt; Keondae R. Ervin; Nilay D. Shah; et al. (J. Am. Medical Informatics Assoc., 2021)

Smart Wearables for Cardiac Monitoring - Real-World Use beyond Atrial Fibrillation. - David Duncker; Wern Yew Ding; Susan Etheridge; Peter A. Noseworthy; Christian Veltmann; Xiaoxi Yao; T. Jared Bunch; Dhiraj Gupta (Sensors, 2021)

Mortality Prediction in Cardiac Intensive Care Unit Patients: A Systematic Review of Existing and Artificial Intelligence Augmented Approaches. - Nikita Rafie; Jacob C. Jentzer; Peter A. Noseworthy; Anthony H. Kashou (Frontiers Artif. Intell., 2022)

Deep Neural Network for Cardiac Magnetic Resonance Image Segmentation. - David Chen 003; Huzefa M. Bhopalwala; Nakeya Dewaswala; Shivaram Poigai Arunachalam; Moein Enayati; Nasibeh Zanjirani Farahani; Kalyan Pasupathy; Sravani Lokineni; J. Martijn Bos; Peter A. Noseworthy; Reza Arsanjani; Bradley J. Erickson; et al. (J. Imaging, 2022)

Artificial intelligence-enabled ECG for left ventricular diastolic function and filling pressure. - Eunjung Lee; Saki Ito; William R. Miranda; Francisco Lopez-Jimenez; Garvan C. Kane; Samuel J. Asirvatham; Peter A. Noseworthy; Paul A. Friedman; Rickey E. Carter; Barry A. Borlaug; Zachi Attia; Jae K. Oh (npj Digit. Medicine, 2024)

Pediatric sex estimation using AI-enabled ECG analysis: influence of pubertal development. - Donnchadh O'Sullivan; Scott Anjewierden; Grace Greason; Itzhak Zachi Attia; Francisco Lopez-Jimenez; Paul A. Friedman; Peter A. Noseworthy; Jason Anderson; Anthony H. Kashou; Samuel J. Asirvatham; Benjamin W. Eidem; Jonathan N. Johnson; et al. (npj Digit. Medicine, 2024)