Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Keith J. Dreyer"'
Autor:
James M. Hillis, Jacob J. Visser, Edward R. Scheffer Cliff, Kelly van der Geest – Aspers, Bernardo C. Bizzo, Keith J. Dreyer, Jeremias Adams-Prassl, Katherine P. Andriole
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-5 (2024)
Externí odkaz:
https://doaj.org/article/637226df86bc41d28b53f5b4b3376158
Autor:
James M. Hillis, Bernardo C. Bizzo, Isabella Newbury‐Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Eric L'Italien, Ashley L. MacDonald, Alex S. Schultz, Karen Buch, John Conklin, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, William A. Mehan
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 4, Iss 4 (2024)
Background Intracranial hemorrhage is a critical finding on computed tomography (CT) of the head. This study compared the accuracy of an artificial intelligence (AI) model (Annalise Enterprise CTB Triage Trauma) to consensus neuroradiologist interpre
Externí odkaz:
https://doaj.org/article/1000eb9586fa40549a7ef12b84c6d349
Autor:
Emiliano Garza-Frias, Parisa Kaviani, Lina Karout, Roshan Fahimi, Seyedehelaheh Hosseini, Preetham Putha, Manoj Tadepalli, Sai Kiran, Charu Arora, Dennis Robert, Bernardo Bizzo, Keith J. Dreyer, Mannudeep K. Kalra, Subba R. Digumarthy
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1635 (2024)
The opportunistic use of radiological examinations for disease detection can potentially enable timely management. We assessed if an index created by an AI software to quantify chest radiography (CXR) findings associated with heart failure (HF) could
Externí odkaz:
https://doaj.org/article/7957637257ab42d4998cd943a66ae6ca
Autor:
Romane Gauriau, Bernardo C. Bizzo, Donnella S. Comeau, James M. Hillis, Christopher P. Bridge, John K. Chin, Jayashri Pawar, Ali Pourvaziri, Ivana Sesic, Elshaimaa Sharaf, Jinjin Cao, Flavia T. C. Noro, Walter F. Wiggins, M. Travis Caton, Felipe Kitamura, Keith J. Dreyer, John F. Kalafut, Katherine P. Andriole, Stuart R. Pomerantz, Ramon G. Gonzalez, Michael H. Lev
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Non-contrast head CT (NCCT) is extremely insensitive for early ( 0.98). When this 150 CT test set was expanded to include a total of 364 CT scans with a more heterogeneous distribution of infarct locations (94 stroke-negative, 270 stroke-pos
Externí odkaz:
https://doaj.org/article/854bbf674fbe487dae58da0a4762c5f1
Autor:
Giridhar Dasegowda, Bernardo C. Bizzo, Parisa Kaviani, Lina Karout, Shadi Ebrahimian, Subba R. Digumarthy, Nir Neumark, James M. Hillis, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 13, Iss 4, p 778 (2023)
Purpose: Motion-impaired CT images can result in limited or suboptimal diagnostic interpretation (with missed or miscalled lesions) and patient recall. We trained and tested an artificial intelligence (AI) model for identifying substantial motion art
Externí odkaz:
https://doaj.org/article/8a248a13406e47d2b5934c09baff74bd
Autor:
Giridhar Dasegowda, Mannudeep K. Kalra, Alain S. Abi-Ghanem, Chiara D. Arru, Monica Bernardo, Luca Saba, Doris Segota, Zhale Tabrizi, Sanjaya Viswamitra, Parisa Kaviani, Lina Karout, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 412 (2023)
Chest radiographs (CXR) are the most performed imaging tests and rank high among the radiographic exams with suboptimal quality and high rejection rates. Suboptimal CXRs can cause delays in patient care and pitfalls in radiographic interpretation, gi
Externí odkaz:
https://doaj.org/article/3d72d61288c74179a089e74f35413848
Autor:
Parisa Kaviani, Mannudeep K. Kalra, Subba R. Digumarthy, Reya V. Gupta, Giridhar Dasegowda, Ammar Jagirdar, Salil Gupta, Preetham Putha, Vidur Mahajan, Bhargava Reddy, Vasanth K. Venugopal, Manoj Tadepalli, Bernardo C. Bizzo, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2382 (2022)
Background: Missed findings in chest X-ray interpretation are common and can have serious consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at three Indian and five US sites. To identify CXRs reported as normal, we used
Externí odkaz:
https://doaj.org/article/0ecdb3ec072f41f2936863b72b0b645e
Autor:
Parisa Kaviani, Subba R. Digumarthy, Bernardo C. Bizzo, Bhargava Reddy, Manoj Tadepalli, Preetham Putha, Ammar Jagirdar, Shadi Ebrahimian, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 12, Iss 9, p 2086 (2022)
Purpose: We assessed whether a CXR AI algorithm was able to detect missed or mislabeled chest radiograph (CXR) findings in radiology reports. Methods: We queried a multi-institutional radiology reports search database of 13 million reports to identif
Externí odkaz:
https://doaj.org/article/7c39e60788664f5f9392e61e06a35e01
Autor:
Parisa Kaviani, Bernardo C. Bizzo, Subba R. Digumarthy, Giridhar Dasegowda, Lina Karout, James Hillis, Nir Neumark, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 12, Iss 8, p 1844 (2022)
(1) Background: Optimal anatomic coverage is important for radiation-dose optimization. We trained and tested (R2.2.4) two (R3-2) deep learning (DL) algorithms on a machine vision tool library platform (Cognex Vision Pro Deep Learning software) to re
Externí odkaz:
https://doaj.org/article/ded85e296e16431291852a37b432e62c
Autor:
Bernardo C. Bizzo, Giridhar Dasegowda, Christopher Bridge, Benjamin Miller, James M. Hillis, Mannudeep K. Kalra, Kimberly Durniak, Markus Stout, Thomas Schultz, Tarik Alkasab, Keith J. Dreyer
Publikováno v:
Journal of the American College of Radiology. 20:352-360