- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Heterogeneity and predictors of the effects of AI assistance on radiologists ; volume:30 ; number:3 ; day:19 ; month:3 ; year:2024 ; pages:837-849 ; date:3.2024
Nature medicine ; 30, Heft 3 (19.3.2024), 837-849, 3.2024
- Creator
-
Yu, Feiyang
Moehring, Alex
Banerjee, Oishi
Salz, Tobias
Agarwal, Nikhil
Rajpurkar, Pranav
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41591-024-02850-w
- URN
-
urn:nbn:de:101:1-2405230723348.632897013958
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:01 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Yu, Feiyang
- Moehring, Alex
- Banerjee, Oishi
- Salz, Tobias
- Agarwal, Nikhil
- Rajpurkar, Pranav
- SpringerLink (Online service)
Other Objects (12)
Radiologists in the loop: the roles of radiologists in the development of AI applications
COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists
AI based Assistance for Assembly Modelling
Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance
The Internet for radiologists
Cloud computing for radiologists
Physiological predictors of respiratory and cough assistance needs after extubation
Echinococcoses – A Primer for Radiologists
ESR communication guidelines for radiologists
Radiologists in the loop: the roles of radiologists in the development of AI applications
COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists
AI based Assistance for Assembly Modelling
Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance
The Internet for radiologists
Cloud computing for radiologists
Physiological predictors of respiratory and cough assistance needs after extubation
Echinococcoses – A Primer for Radiologists
ESR communication guidelines for radiologists
Radiologists in the loop: the roles of radiologists in the development of AI applications
COVID-19, AI enthusiasts, and toy datasets: radiology without radiologists
AI based Assistance for Assembly Modelling
Performance of AI to exclude normal chest radiographs to reduce radiologists’ workload
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage
Deep Learning for Chest X-ray Diagnosis: Competition Between Radiologists with or Without Artificial Intelligence Assistance
The Internet for radiologists
Cloud computing for radiologists
Physiological predictors of respiratory and cough assistance needs after extubation
Echinococcoses – A Primer for Radiologists