Clinician and computer: a study on doctors’ perceptions of artificial intelligence in skeletal radiography
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6920
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Clinician and computer: a study on doctors’ perceptions of artificial intelligence in skeletal radiography ; volume:23 ; number:1 ; day:10 ; month:1 ; year:2023 ; pages:1-10 ; date:12.2023
BMC medical education ; 23, Heft 1 (10.1.2023), 1-10, 12.2023
- Creator
-
York, Thomas James
Raj, Siddarth
Ashdown, Thomas
Jones, Gareth
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1186/s12909-022-03976-6
- URN
-
urn:nbn:de:101:1-2023031809133655289139
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:52 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
- York, Thomas James
- Raj, Siddarth
- Ashdown, Thomas
- Jones, Gareth
- SpringerLink (Online service)
Other Objects (12)
Borderlands of normal and early pathologic findings in skeletal radiography
Clinician perceptions of factors influencing referrals to a smoking cessation program
Computed radiography
Magnification radiography
Artificial intelligence for the detection of vertebral fractures on plain spinal radiography
Computer-aided detection in chest radiography based on artificial intelligence: a survey
Artificial Intelligence Perceptions and Life Satisfaction
Home telehealth and paediatric palliative care: clinician perceptions of what is stopping us?
Diffusing an Innovation: Clinician Perceptions of Continuous Predictive Analytics Monitoring in Intensive Care
Conventional bitewing radiography
Quality control of elbow joint radiography using a YOLOv8-based artificial intelligence technology
Artificial intelligence in diagnosing dens evaginatus on periapical radiography with limited data availability
Borderlands of normal and early pathologic findings in skeletal radiography
Clinician perceptions of factors influencing referrals to a smoking cessation program
Computed radiography
Magnification radiography
Artificial intelligence for the detection of vertebral fractures on plain spinal radiography
Computer-aided detection in chest radiography based on artificial intelligence: a survey
Artificial Intelligence Perceptions and Life Satisfaction
Home telehealth and paediatric palliative care: clinician perceptions of what is stopping us?
Diffusing an Innovation: Clinician Perceptions of Continuous Predictive Analytics Monitoring in Intensive Care
Conventional bitewing radiography
Quality control of elbow joint radiography using a YOLOv8-based artificial intelligence technology
Artificial intelligence in diagnosing dens evaginatus on periapical radiography with limited data availability
Borderlands of normal and early pathologic findings in skeletal radiography
Clinician perceptions of factors influencing referrals to a smoking cessation program
Computed radiography
Magnification radiography
Artificial intelligence for the detection of vertebral fractures on plain spinal radiography
Computer-aided detection in chest radiography based on artificial intelligence: a survey
Artificial Intelligence Perceptions and Life Satisfaction
Home telehealth and paediatric palliative care: clinician perceptions of what is stopping us?
Diffusing an Innovation: Clinician Perceptions of Continuous Predictive Analytics Monitoring in Intensive Care
Conventional bitewing radiography
Quality control of elbow joint radiography using a YOLOv8-based artificial intelligence technology