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Full-Text Articles in Radiology
Sociodemographic Determinants Of Oral Anticoagulant Prescription In Patients With Atrial Fibrillations: Findings From The Pinnacle Registry Using Machine Learning, Zahra Azizi, Andrew T. Ward, Donghyun J. Lee, Sanchit S. Gad, Kanchan Bhasin, Robert J. Beetel, Tiago Ferreira, Sushant Shankar, John S. Rumsfeld, Salim S. Virani
Sociodemographic Determinants Of Oral Anticoagulant Prescription In Patients With Atrial Fibrillations: Findings From The Pinnacle Registry Using Machine Learning, Zahra Azizi, Andrew T. Ward, Donghyun J. Lee, Sanchit S. Gad, Kanchan Bhasin, Robert J. Beetel, Tiago Ferreira, Sushant Shankar, John S. Rumsfeld, Salim S. Virani
Office of the Provost
Background: Current risk scores that are solely based on clinical factors have shown modest predictive ability for understanding of factors associated with gaps in real-world prescription of oral anticoagulation (OAC) in patients with atrial fibrillation (AF).
Objective: In this study, we sought to identify the role of social and geographic determinants, beyond clinical factors associated with variation in OAC prescriptions using a large national registry of ambulatory patients with AF.
Methods: Between January 2017 and June 2018, we identified patients with AF from the American College of Cardiology PINNACLE (Practice Innovation and Clinical Excellence) Registry. We examined associations between patient …
Understanding Deep Learning - Challenges And Prospects, Niha Adnan, Fahad Umer
Understanding Deep Learning - Challenges And Prospects, Niha Adnan, Fahad Umer
Department of Surgery
The developments in Artificial Intelligence have been on the rise since its advent. The advancements in this field have been the innovative research area across a wide range of industries, making its incorporation in dentistry inevitable. Artificial Intelligence techniques are making serious progress in the diagnostic and treatment planning aspects of dental clinical practice. This will ultimately help in the elimination of subjectivity and human error that are often part of radiographic interpretations, and will improve the overall efficiency of the process. The various types of Artificial Intelligence algorithms that exist today make the understanding of their application quite complex. …
Conference Proceedings: Aurora Scientific Day 2020
Conference Proceedings: Aurora Scientific Day 2020
Journal of Patient-Centered Research and Reviews
Abstracts published in this supplement were among those presented at the 46th annual Aurora Scientific Day research symposium, held virtually on May 20, 2020. The symposium provides a forum for describing research studies conducted by faculty, fellows, residents, and allied health professionals affiliated with Wisconsin-based Aurora Health Care, a part of the Advocate Aurora Health health system, which publishes the Journal of Patient-Centered Research and Reviews.