Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jonathan, Sperl"'
Autor:
Rimma Kondrashova, Filip Klimeš, Till Frederik Kaireit, Katharina May, Jörg Barkhausen, Susanne Stiebeler, Jonathan Sperl, Sabine Dettmer, Frank Wacker, Jens Vogel-Claussen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Participant management in a lung cancer screening (LCS) depends on the assigned Lung Imaging Reporting and Data System (Lung-RADS) category, which is based on reliable detection and measurement of pulmonary nodules. The aim of this study was
Externí odkaz:
https://doaj.org/article/3ef53594fbdf49d78b472deccdbce8e1
Autor:
Jordan Chamberlin, Madison R. Kocher, Jeffrey Waltz, Madalyn Snoddy, Natalie F. C. Stringer, Joseph Stephenson, Pooyan Sahbaee, Puneet Sharma, Saikiran Rapaka, U. Joseph Schoepf, Andres F. Abadia, Jonathan Sperl, Phillip Hoelzer, Megan Mercer, Nayana Somayaji, Gilberto Aquino, Jeremy R. Burt
Publikováno v:
BMC Medicine, Vol 19, Iss 1, Pp 1-14 (2021)
Abstract Background Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet
Externí odkaz:
https://doaj.org/article/a1c542a73b0849169c6de25f8a74f99f
Autor:
Basel, Yacoub, Akos, Varga-Szemes, U Joseph, Schoepf, Ismail M, Kabakus, Dhiraj, Baruah, Jeremy R, Burt, Gilberto J, Aquino, Allison K, Sullivan, Jim O', Doherty, Philipp, Hoelzer, Jonathan, Sperl, Tilman, Emrich
Publikováno v:
American Journal of Roentgenology. 219:743-751
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a91fb5dd9d897db9b85a01fea7a32e
https://doi.org/10.2214/ajr.22.27598
https://doi.org/10.2214/ajr.22.27598
Autor:
Jeremy R. Burt, Jeffrey Waltz, Joseph Stephenson, Madison Kocher, U. Joseph Schoepf, Saikiran Rapaka, Jonathan Sperl, Puneet Sharma, Andres F. Abadia, Megan Mercer, Pooyan Sahbaee, Madalyn Snoddy, Phillip Hoelzer, Gilberto J. Aquino, Natalie Stringer, Jordan Chamberlin, Nayana Somayaji
Publikováno v:
BMC Medicine, Vol 19, Iss 1, Pp 1-14 (2021)
BMC Medicine
BMC Medicine
Background Artificial intelligence (AI) in diagnostic radiology is undergoing rapid development. Its potential utility to improve diagnostic performance for cardiopulmonary events is widely recognized, but the accuracy and precision have yet to be de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92b2ce4e7fd0d92048d5ebb35a2ffe1b
https://doi.org/10.1186/s12916-021-01928-3
https://doi.org/10.1186/s12916-021-01928-3