This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) Clinical Information and Decision Making (1407) E-Health / Health Services Research and New Models of Care (517) Decision Support for Health Professionals (1185)

Published on in Vol 7 (2023)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45820, first published .
Diagnostic Accuracy and Confidence in Management of Forearm and Hand Fractures Among Foundation Doctors in the Accident and Emergency Department: Survey Study

Diagnostic Accuracy and Confidence in Management of Forearm and Hand Fractures Among Foundation Doctors in the Accident and Emergency Department: Survey Study

Diagnostic Accuracy and Confidence in Management of Forearm and Hand Fractures Among Foundation Doctors in the Accident and Emergency Department: Survey Study

Authors of this article:

Ben Gompels1, 2 Author Orcid Image ;   Tobin Rusby3 Author Orcid Image ;   Richard Limb2 Author Orcid Image ;   Peter Ralte2 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Kumar R, K. S, Mohapatra D. Assessing radiographic findings on finger X-rays using an enhanced deep learning approach. International Journal of Information Technology 2024;16(7):4279 View