Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Srivas Venkatesh"'
Autor:
Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Chest X-rays are the most commonly performed medical imaging exam, yet they are often misinterpreted by physicians. Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physician
Externí odkaz:
https://doaj.org/article/8313e4581a2c4f59827727ee167903f3
Autor:
Rebecca M. Jones, Anuj Sharma, Robert Hotchkiss, John W. Sperling, Jackson Hamburger, Christian Ledig, Robert O’Toole, Michael Gardner, Srivas Venkatesh, Matthew M. Roberts, Romain Sauvestre, Max Shatkhin, Anant Gupta, Sumit Chopra, Manickam Kumaravel, Aaron Daluiski, Will Plogger, Jason Nascone, Hollis G. Potter, Robert V. Lindsey
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-6 (2020)
Abstract Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures t
Externí odkaz:
https://doaj.org/article/c02d45617a4140d6845b63adf3098c46
Autor:
Serge Sicular, Mehmet Alpaslan, Francis A. Ortega, Nora Keathley, Srivas Venkatesh, Rebecca M. Jones, Robert V. Lindsey
Publikováno v:
Respiratory Medicine Case Reports, Vol 39, Iss , Pp 101733- (2022)
Lung cancer is often missed on chest radiographs, despite chest radiography typically being the first imaging modality in the diagnosis pathway. We present a 46 year-old male with chest pain referred for chest X-ray, and initial interpretation report
Externí odkaz:
https://doaj.org/article/4a5e72b4f56c4c9ba5b5fe1df69fa674
Autor:
Pamela G. Anderson, Graham L. Baum, Nora Keathley, Serge Sicular, Srivas Venkatesh, Anuj Sharma, Aaron Daluiski, Hollis Potter, Robert Hotchkiss, Robert V. Lindsey, Rebecca M. Jones
Publikováno v:
Clinical orthopaedics and related research.
Missed fractures are the most common diagnostic errors in musculoskeletal imaging and can result in treatment delays and preventable morbidity. Deep learning, a subfield of artificial intelligence, can be used to accurately detect fractures by traini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57138153be8c6bcb5bb8b33f1a59cd7e
https://pubmed.ncbi.nlm.nih.gov/36083847
https://pubmed.ncbi.nlm.nih.gov/36083847
Autor:
Anant Gupta, Srivas Venkatesh, Robert V. O’Toole, Robert V. Lindsey, Rebecca M. Jones, Hollis G. Potter, Anuj Sharma, Romain Sauvestre, Jason Nascone, Aaron Daluiski, Manickam Kumaravel, Max Shatkhin, Christian Ledig, Robert N. Hotchkiss, Will Plogger, Jackson Hamburger, Michael J. Gardner, Sumit Chopra, Matthew M. Roberts, John W. Sperling
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-6 (2020)
NPJ Digital Medicine
NPJ Digital Medicine
Missed fractures are the most common diagnostic error in emergency departments and can lead to treatment delays and long-term disability. Here we show through a multi-site study that a deep-learning system can accurately identify fractures throughout
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee00a7ad526a902448365045b47ce5c5
https://doi.org/10.1038/s41746-020-00352-w
https://doi.org/10.1038/s41746-020-00352-w