Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Curtis, Langlotz"'
Autor:
Kristine Arges, Themistocles Assimes, Vikram Bajaj, Suresh Balu, Mustafa R. Bashir, Laura Beskow, Rosalia Blanco, Robert Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S. Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S. Gambhir, Geoffrey S. Ginsburg, Robert C. Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S. Huang, Glenn Jaffe, Daniel King, Lynne H. Koweek, Curtis Langlotz, Yaping J. Liao, Kenneth W. Mahaffey, Kelly Marcom, William J. Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H. Muhlbaier, Rajan Munshi, L. Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael Pencina, Eric D. Peterson, Fatima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J. Willemink, Charlene A. Wong
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-10 (2020)
Abstract The Project Baseline Health Study (PBHS) was launched to map human health through a comprehensive understanding of both the health of an individual and how it relates to the broader population. The study will contribute to the creation of a
Externí odkaz:
https://doaj.org/article/363af385f20a4bb6bc414ac3b1588ec6
Autor:
William Hiesinger, Cyril Zakka, Akash Chaurasia, Rohan Shad, Alex Dalal, Jennifer Kim, Michael Moor, Kevin Alexander, Euan Ashley, Jack Boyd, Kathleen Boyd, Karen Hirsch, Curtis Langlotz, Joanna Nelson
Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering. Despite many promising applications in clinical medicine, ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6f5c31592a5baa041e5842d7245ecd6
https://doi.org/10.21203/rs.3.rs-2883198/v1
https://doi.org/10.21203/rs.3.rs-2883198/v1
Autor:
Sarah M. Hooper, Sen Wu, Rhodri H. Davies, Anish Bhuva, Erik B. Schelbert, James C. Moon, Peter Kellman, Hui Xue, Curtis Langlotz, Christopher Ré
Publikováno v:
Journal of Medical Imaging. 10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c292eb4a8c638cb93914c33f93700cb8
https://doi.org/10.1117/1.jmi.10.2.024007
https://doi.org/10.1117/1.jmi.10.2.024007
Publikováno v:
The Annals of thoracic surgery. 115(1)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c3f9084bab3cde0b9f16f5b0bb4311
https://pubmed.ncbi.nlm.nih.gov/35661716
https://pubmed.ncbi.nlm.nih.gov/35661716
Autor:
Jean-benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, Curtis Langlotz
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd40a8aed12c831e623ff1c906d17863
https://doi.org/10.18653/v1/2022.acl-demo.3
https://doi.org/10.18653/v1/2022.acl-demo.3
Autor:
Aparajita Khan, Julie Wu, Eunji Choi, Anna Graber-Naidich, Solomon Henry, Heather A. Wakelee, Allison W. Kurian, Su-Ying Liang, Ann Leung, Curtis Langlotz, Leah M. Backhus, Summer S. Han
Publikováno v:
Cancer Prevention Research. 16:P068-P068
Background: Real-world evidence (RWE) studies for surveillance patterns following lung cancer (LC) diagnosis can inform optimizing recommendations on surveillance and practice. One major obstacle in RWE studies for LC surveillance is the lack of radi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd47ffceac1a3bf63ea0e4d9d52ee64f
https://doi.org/10.1158/1940-6215.precprev22-p068
https://doi.org/10.1158/1940-6215.precprev22-p068
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