Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Keith, Dreyer"'
Publikováno v:
JMIR Medical Education, Vol 9, p e51199 (2023)
The growing presence of large language models (LLMs) in health care applications holds significant promise for innovative advancements in patient care. However, concerns about ethical implications and potential biases have been raised by various stak
Externí odkaz:
https://doaj.org/article/8e9c951e85e24b1baf2c582ec54d4f07
Autor:
Arya Rao, Michael Pang, John Kim, Meghana Kamineni, Winston Lie, Anoop K Prasad, Adam Landman, Keith Dreyer, Marc D Succi
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e48659 (2023)
BackgroundLarge language model (LLM)–based artificial intelligence chatbots direct the power of large training data sets toward successive, related tasks as opposed to single-ask tasks, for which artificial intelligence already achieves impressive
Externí odkaz:
https://doaj.org/article/f869ff219b85434bb11f72056d0e4302
Autor:
Bibb Allen, Kendall Schmidt, Laura Brink, E. Pisano, Laura Coombs, Charles Apgar, Keith Dreyer, Christoph Wald
Publikováno v:
Academic Radiology. 30:640-643
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f67d7e1d126fd357bee6632fcefd057f
https://doi.org/10.1016/j.acra.2023.01.010
https://doi.org/10.1016/j.acra.2023.01.010
Autor:
Mara Kunst, Rajiv Gupta, Laura P. Coombs, Jana G. Delfino, Amir Khan, Inka Berglar, null Dipl.-Math, Benjamin Kozak, Juan E. Small, Laura Gillis, Patrick Noonan, Junyong Fang, Vinay Pai, Mike Tilkin, Bibb Allen, Keith Dreyer, Christoph Wald
Publikováno v:
Journal of the American College of Radiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecf81151baf80f572fa8f85cae8aa5e5
https://doi.org/10.1016/j.jacr.2023.04.003
https://doi.org/10.1016/j.jacr.2023.04.003
Autor:
Cory Robinson-Weiss, Jay Patel, Bernardo C. Bizzo, Daniel I. Glazer, Christopher P. Bridge, Katherine P. Andriole, Borna Dabiri, John K. Chin, Keith Dreyer, Jayashree Kalpathy-Cramer, William W. Mayo-Smith
Publikováno v:
Radiology. 306
Background Adrenal masses are common, but radiology reporting and recommendations for management can be variable. Purpose To create a machine learning algorithm to segment adrenal glands on contrast-enhanced CT images and classify glands as normal or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f7933d49cc84effd2c5c055a3dca773
https://doi.org/10.1148/radiol.220101
https://doi.org/10.1148/radiol.220101
Publikováno v:
Journal of the American College of Radiology. 16:961-963
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f14f528067d4806839e517dabb4618cb
https://doi.org/10.1016/j.jacr.2019.04.023
https://doi.org/10.1016/j.jacr.2019.04.023
Autor:
Michael P, Recht, Marc, Dewey, Keith, Dreyer, Curtis, Langlotz, Wiro, Niessen, Barbara, Prainsack, John J, Smith
Publikováno v:
European radiology. 30(6)
Artificial intelligence (AI) has the potential to significantly disrupt the way radiology will be practiced in the near future, but several issues need to be resolved before AI can be widely implemented in daily practice. These include the role of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::fbebfda5aadd4adb80189ff468201d1d
https://pubmed.ncbi.nlm.nih.gov/32064565
https://pubmed.ncbi.nlm.nih.gov/32064565
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