Adopt study (AI-enabled Detection of Osteoporosis for Treatment) funded by NIHR and NHSE uses an AI-enabled FLS clinical pathway implemented in several NHS sites, aims to describe the following:

  • the performance of the AI-enabled vertebral fracture identification platform compared with NHS radiology reports and local readers.
  • the implementation of an AI software in NHS hospitals to develop a supporting toolkit.
  • how the AI-FLS pathway improves key performance indicators for patient’s identification, assessment, treatment recommendation and adherence.
  • evaluate the clinical and cost effectiveness of the AI-FLS pathway.

Led by Kassim Javaid, Professor of Osteoporosis and Adult Rare Bone Diseases

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Barriers to implementation of Artificial Intelligence algorithm into routine clinical care: experiences across 5 NHS trusts in the UK.

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Survival of opportunistically identified patients with vertebral fractures using existing CT scans: do they survive long enough to potentially benefit from fracture prevention interventions?

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COMPARISON OF RADIOLOGY AUGMENTED VS ASYNCHRONOUS OF ARTIFICIAL INTELLIGENCE (AI) ENABLED VERTEBRAL FRACTURE (VF) REPORTING

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Artificial Intelligence Enabled Vertebral Fracture Identification for Fracture Liaison Services: opportunities and challenges - The ADOPT Study

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