Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Robert V. Lindsey"'
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
Autor:
Douglas P. Hanel, Hollis G. Potter, Aaron Daluiski, Robert V. Lindsey, Michael J. Gardner, Anurag Gupta, Robert N. Hotchkiss, Serge Sicular, Alexander Lachapelle, Sumit Chopra, Michael C. Mozer
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Significance Historically, computer-assisted detection (CAD) in radiology has failed to achieve improvements in diagnostic accuracy, decreasing clinician sensitivity and leading to unnecessary further diagnostic tests. With the advent of deep learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54096e0fb889517ccf74d4c821e2c7e3
https://doi.org/10.1073/pnas.1806905115
https://doi.org/10.1073/pnas.1806905115
Autor:
Michael C. Mozer, Robert V. Lindsey
Publikováno v:
Big Data in Cognitive Science ISBN: 9781315413570
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0e60e629db8a90988a780dab996f1e9
https://doi.org/10.4324/9781315413570-8
https://doi.org/10.4324/9781315413570-8
Publikováno v:
CHI
We use Bayesian optimization methods to design games that maximize user engagement. Participants are paid to try a game for several minutes, at which point they can quit or continue to play voluntarily with no further compensation. Engagement is meas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81a2300f35a90e70a50dd7f0df92e56
https://doi.org/10.1145/2858036.2858253
https://doi.org/10.1145/2858036.2858253
Publikováno v:
Psychonomic bulletinreview. 21(6)
If multiple opportunities are available to review to-be-learned material, should a review occur soon after initial study and recur at progressively expanding intervals, or should the reviews occur at equal intervals? Landauer and Bjork (1978) argued
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7667a0b3b9df4c772f87c263e4c0c5c
https://pubmed.ncbi.nlm.nih.gov/24744260
https://pubmed.ncbi.nlm.nih.gov/24744260
Publikováno v:
Psychological science. 25(3)
Human memory is imperfect; thus, periodic review is required for the long-term preservation of knowledge and skills. However, students at every educational level are challenged by an ever-growing amount of material to review and an ongoing imperative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b075eceb324b19279f6c0f2d2e4980f2
https://pubmed.ncbi.nlm.nih.gov/24444515
https://pubmed.ncbi.nlm.nih.gov/24444515