EvidenceLib · Open textbook · CC BY 4.0
Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment
Caroline Farmer, Helen Coelho, Madhusubramanian Muthukumar, Sophie Robinson, Robert Meertens, Obioha C Ukoumunne, Val Santo, Niamh Gale, Jonathan T Evans, Jonathan P Evans, Jenny Lowe, GJ Melendez-Torres, Edward CF Wilson · 13 sections in 13 chapters. Each section is its own page.
Decision-problem
Technologies
Clinical context
Clinical, service and technological evidence selection
Clinical, service and technological evidence results
Economic evidence searches and selection
Evidence submitted by companies
Economic evaluation
Evidence gaps and research recommendations
Discussion
References
Additional information
Note
Attribution. Caroline Farmer; Helen Coelho; Madhusubramanian Muthukumar; Sophie Robinson; Robert Meertens; Obioha C Ukoumunne et al. (2026). Artificial intelligence software to help detect fractures on X-rays in urgent care: An Early Value Assessment. National Institute for Health and Care Research. Copyright © 2026 Farmer et al. Licensed under CC BY 4.0. NCBI Bookshelf NBK622219. CC BY 4.0. Original source ↗. Text reproduced from the Bookshelf XML without changing wording; figures, images and supplements are not reproduced.