Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Isabella Newbury-Chaet"'
Autor:
James M. Hillis, Bernardo C. Bizzo, Isabella Newbury‐Chaet, Sarah F. Mercaldo, John K. Chin, Ankita Ghatak, Madeleine A. Halle, Eric L'Italien, Ashley L. MacDonald, Alex S. Schultz, Karen Buch, John Conklin, Stuart Pomerantz, Sandra Rincon, Keith J. Dreyer, William A. Mehan
Publikováno v:
Stroke: Vascular and Interventional Neurology, Vol 4, Iss 4 (2024)
Background Intracranial hemorrhage is a critical finding on computed tomography (CT) of the head. This study compared the accuracy of an artificial intelligence (AI) model (Annalise Enterprise CTB Triage Trauma) to consensus neuroradiologist interpre
Externí odkaz:
https://doaj.org/article/1000eb9586fa40549a7ef12b84c6d349
Autor:
James M. Hillis, Bernardo C. Bizzo, Sarah Mercaldo, John K. Chin, Isabella Newbury-Chaet, Subba R. Digumarthy, Matthew D. Gilman, Victorine V. Muse, Georgie Bottrell, Jarrel C.Y. Seah, Catherine M. Jones, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
JAMA network open. 5(12)
ImportanceEarly detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model could
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0cbd25ec5c98b93eab207ecbda78081
https://pubmed.ncbi.nlm.nih.gov/36520432
https://pubmed.ncbi.nlm.nih.gov/36520432
Autor:
James M Hillis, Bernardo C Bizzo, Sarah Mercaldo, John K Chin, Isabella Newbury-Chaet, Subba R Digumarthy, Matthew D Gilman, Victorine V Muse, Georgie Bottrell, Jarrel CY Seah, Catherine M Jones, Mannudeep K Kalra, Keith J Dreyer
ImportanceEarly detection of pneumothorax, most often on chest radiograph (CXR), can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cb0720aaaef0ac808100c897b98ad89
https://doi.org/10.1101/2022.07.07.22277305
https://doi.org/10.1101/2022.07.07.22277305
