Bridging innovation to implementation in artificial intelligence fracture detection
File(s)
Accepted version
Author(s)
Khattak, Mohammed
Kierkegaard, Patrick
McGregor, Alison
Perry, Daniel C
Type
Journal Article
Abstract
The deployment of AI in medical imaging, particularly in areas such as fracture detection, represents a transformative advancement in orthopaedic care. AI-driven systems, leveraging deep-learning algorithms, promise to enhance diagnostic accuracy, reduce variability, and streamline workflows by analyzing radiograph images swiftly and accurately. Despite these potential benefits, the integration of AI into clinical settings faces substantial barriers, including slow adoption across health systems, technical challenges, and a major lag between technology development and clinical implementation. This commentary explores the role of AI in healthcare, highlighting its potential to enhance patient outcomes through more accurate and timely diagnoses. It addresses the necessity of bridging the gap between AI innovation and practical application. It also emphasizes the importance of implementation science in effectively integrating AI technologies into healthcare systems, using frameworks such as the Consolidated Framework for Implementation Research and the Knowledge-to-Action Cycle to guide this process. We call for a structured approach to address the challenges of deploying AI in clinical settings, ensuring that AI’s benefits translate into improved healthcare delivery and patient care.
Date Issued
2025-06-01
Date Acceptance
2025-05-01
Citation
The Bone & Joint Journal, 2025, 107-B (6), pp.582-586
ISSN
2049-4408
Publisher
British Editorial Society of Bone and Joint Surgery
Start Page
582
End Page
586
Journal / Book Title
The Bone & Joint Journal
Volume
107-B
Issue
6
Copyright Statement
Copyright © 2025 The British Editorial Society of Bone & Joint Surgery. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Subjects
Humans
Artificial Intelligence
Fractures, Bone
Publication Status
Published
Date Publish Online
2025-06-01