Artificial Intelligence (AI) for Fracture Diagnosis: An Overview of Current Products and Considerations for Clinical Adoption, From the Special Series on AI Applications.

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Abstract

Fractures are common injuries that can be difficult to diagnose, with missed fractures accounting for most misdiagnoses in the emergency department. Artificial intelligence (AI), and specifically deep learning, has demonstrated strong ability to accurately detect fractures and augment radiologists’ performance in proof-of-concept research settings. Although the number of real-world AI products available for clinical use continues to increase, guidance for practicing radiologists in the adoption of this new technology is limited. This review describes how AI and deep learning algorithms can help radiologists to better diagnose fractures. The article also provides an overview of commercially available FDA-cleared fracture detection AI tools and of considerations for these tools’ clinical adoption by radiology practices.