External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study - Takeaways - MDSpire

External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study

  • By

  • Cato Pauling

  • Harsimran Laidlow-Singh

  • Emily Evans

  • David Garbera

  • Rosalind Williamson

  • Ranil Fernando

  • Kate Thomas

  • Helena Martin

  • Owen J. Arthurs

  • Susan C. Shelmerdine

  • July 7, 2025

  • 0 min

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  • 1

    Osteogenesis imperfecta (OI) is a rare genetic disorder that increases fracture risk, affecting approximately 1 in 10,000 individuals.

  • 2

    The study aimed to evaluate the performance of an AI tool for fracture detection in children with OI, a population often overlooked in AI research.

  • 3

    Seven radiologists participated in a multireader study, interpreting radiographs independently and then with AI assistance to assess fracture detection accuracy.

  • 4

    The AI tool, Milvue Suite-SmartUrgences®, was not specifically trained on OI cases but was evaluated for its potential to aid radiologists in fracture identification.

  • 5

    Results from the study will help understand the effectiveness of AI in diagnosing fractures in pediatric patients with rare diseases like OI.

Original Source(s)

External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study

  • by Cato Pauling, Harsimran Laidlow-Singh, Emily Evans, David Garbera, Rosalind Williamson, Ranil Fernando, Kate Thomas, Helena Martin, Owen J. Arthurs, Susan C. Shelmerdine

  • July 7, 2025

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