Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography.

Journal: BMJ health & care informatics

Published Date: Nov 1, 2020

Abstract

BACKGROUND: Up to half of all musculoskeletal injuries are investigated with plain radiographs. However, high rates of image interpretation error mean that novel solutions such as artificial intelligence (AI) are being explored.

Authors

Thomas York

Trauma and Orthopaedics, Imperial College Healthcare NHS Trust, London, UK thomas.york19@imperial.ac.uk.
Heloise Jenney

Trauma and Orthopaedics, Imperial College Healthcare NHS Trust, London, UK.
Gareth Jones

Clinical Senior Lecturer, Trauma and Orthopaedics, Imperial College London, London, UK.

Keywords

Artificial Intelligence Computers Female Humans Male Patients Perception Radiography Surveys and Questionnaires Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (33187956)

Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography.

Abstract

Authors

Keywords

External Resources

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