Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Adelaide M. Arruda-Olson"'
Autor:
Robert D. McBane, Dennis H. Murphree, David Liedl, Francisco Lopez‐Jimenez, Itzhak Zachi Attia, Adelaide M. Arruda‐Olson, Christopher G. Scott, Naresh Prodduturi, Steve E. Nowakowski, Thom W. Rooke, Ana I. Casanegra, Waldemar E. Wysokinski, Damon E. Houghton, Haraldur Bjarnason, Paul W. Wennberg
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 3 (2024)
Background Patients with peripheral artery disease are at increased risk for major adverse cardiac events, major adverse limb events, and all‐cause death. Developing tools capable of identifying those patients with peripheral artery disease at grea
Externí odkaz:
https://doaj.org/article/f37b3dfd89a24f6487ed35029cdafda9
Autor:
Vidhu Anand, Megan K. Covington, Ushasi Saraswati, Christopher G. Scott, Alexander T. Lee, Robert P. Frantz, Nandan S. Anavekar, Jeffrey B. Geske, Adelaide M. Arruda-Olson, Kyle W. Klarich
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2024)
IntroductionApical hypertrophic cardiomyopathy (ApHCM) is a subtype of hypertrophic cardiomyopathy (HCM) that affects up to 25% of Asian patients and is not as well understood in non-Asian patients. Although ApHCM has been considered a more “benign
Externí odkaz:
https://doaj.org/article/e16aff4668c5466b877c1e68faaf9cff
Autor:
Maren Maanja, MD, PhD, Peter A. Noseworthy, MD, FHRS, Jeffrey B. Geske, MD, Michael J. Ackerman, MD, PhD, Adelaide M. Arruda-Olson, MD, PhD, Steve R. Ommen, MD, Zachi I. Attia, PhD, Paul A. Friedman, MD, FHRS, Konstantinos C. Siontis, MD, FHRS
Publikováno v:
Cardiovascular Digital Health Journal, Vol 3, Iss 6, Pp 289-296 (2022)
Background: An electrocardiogram (ECG)-based artificial intelligence (AI) algorithm has shown good performance in detecting hypertrophic cardiomyopathy (HCM). However, its application in routine clinical practice may be challenging owing to the low d
Externí odkaz:
https://doaj.org/article/d6a32c2b206d4643bfa0e0bbcbb3a8d4
Autor:
Nakeya Dewaswala, David Chen, Huzefa Bhopalwala, Vinod C. Kaggal, Sean P. Murphy, J. Martijn Bos, Jeffrey B. Geske, Bernard J. Gersh, Steve R. Ommen, Philip A. Araoz, Michael J. Ackerman, Adelaide M. Arruda-Olson
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is ti
Externí odkaz:
https://doaj.org/article/d9a6ce6d492547be984e9f1a91551f18
Autor:
Konstantinos C. Siontis, MD, Huzefa Bhopalwala, MD, Nakeya Dewaswala, MD, Christopher G. Scott, MS, Peter A. Noseworthy, MD, FHRS, Jeffrey B. Geske, MD, Steve R. Ommen, MD, Rick A. Nishimura, MD, Michael J. Ackerman, MD, PhD, Paul A. Friedman, MD, FHRS, Adelaide M. Arruda-Olson, MD, PhD
Publikováno v:
Cardiovascular Digital Health Journal, Vol 2, Iss 5, Pp 264-269 (2021)
Background: The follow-up of implantable cardioverter-defibrillators (ICDs) generates large amounts of valuable structured and unstructured data embedded in device interrogation reports. Objective: We aimed to build a natural language processing (NLP
Externí odkaz:
https://doaj.org/article/3f330040537243c097b35b31433cd3dd
Autor:
Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is typically silent until late stages, but early intervention can significantly delay its progression. We designed a portable and scalable electronic CKD phenotype to
Externí odkaz:
https://doaj.org/article/24b3c498eb59459db6ee0b4a55ddf3e3
Autor:
Alisha P. Chaudhry, BA, Ronald A. Hankey, MS, MBA, Vinod C. Kaggal, BS, Huzefa Bhopalwala, MD, David A. Liedl, RN, Paul W. Wennberg, MD, Thom W. Rooke, MD, Christopher G. Scott, MS, Magali P. Disdier Moulder, PharmD, RPh, Abby K. Hendricks, PharmD, RPh, Ana I. Casanegra, MD, Robert D. McBane, 2nd, MD, Jane L. Shellum, BA, MHA, Iftikhar J. Kullo, MD, Rick A. Nishimura, MD, Rajeev Chaudhry, MBBS, MPH, Adelaide M. Arruda-Olson, MD, PhD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 5, Iss 1, Pp 94-102 (2021)
Objective: To evaluate usability of a quality improvement tool that promotes guideline-based care for patients with peripheral arterial disease (PAD). Patients and Methods: The study was conducted from July 19, 2018, to August 21, 2019. We compared t
Externí odkaz:
https://doaj.org/article/56405481c5e34656b250a862832ffef2
Autor:
Alisha P. Chaudhry, Sujith Samudrala, MD, Francisco Lopez-Jimenez, MD, Jane L. Shellum, BA, MHA, Rick A. Nishimura, MD, Rajeev Chaudhry, MBBS, MPH, Hongfang Liu, PhD, Adelaide M. Arruda-Olson, MD, PhD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 3, Iss 1, Pp 23-29 (2019)
Objective: To investigate provider opinions regarding a clinical decision support (CDS) system for cardiovascular risk assessment and for the creation of a replacement system. Methods: From March to April 2018, an invitation letter with a link to a s
Externí odkaz:
https://doaj.org/article/f8838a9197704d51aa2d491f45da8b56
Autor:
David Chen, Huzefa Bhopalwala, Nakeya Dewaswala, Shivaram P. Arunachalam, Moein Enayati, Nasibeh Zanjirani Farahani, Kalyan Pasupathy, Sravani Lokineni, J. Martijn Bos, Peter A. Noseworthy, Reza Arsanjani, Bradley J. Erickson, Jeffrey B. Geske, Michael J. Ackerman, Philip A. Araoz, Adelaide M. Arruda-Olson
Publikováno v:
Journal of Imaging, Vol 8, Iss 5, p 149 (2022)
The analysis and interpretation of cardiac magnetic resonance (CMR) images are often time-consuming. The automated segmentation of cardiac structures can reduce the time required for image analysis. Spatial similarities between different CMR image ty
Externí odkaz:
https://doaj.org/article/cfe980ff69664c87ac62d53b7facb39f
Autor:
Alisha P. Chaudhry, Naveed Afzal, PhD, Mohamed M. Abidian, MD, Vishnu Priya Mallipeddi, MBBS, Ravikumar K. Elayavilli, PhD, Christopher G. Scott, MS, Iftikhar J. Kullo, MD, Paul W. Wennberg, MD, Joshua J. Pankratz, MS, Hongfang Liu, PhD, Rajeev Chaudhry, MBBS, MPH, Adelaide M. Arruda-Olson, MD, PhD
Publikováno v:
Mayo Clinic Proceedings: Innovations, Quality & Outcomes, Vol 2, Iss 2, Pp 129-136 (2018)
Objective: To quantify compliance with guideline recommendations for secondary prevention in peripheral artery disease (PAD) using natural language processing (NLP) tools deployed to an electronic health record (EHR) and investigate provider opinions
Externí odkaz:
https://doaj.org/article/608f110d178a48878b40466bc46ef02f