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

Artículo
Hueso

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

Seguir leyendo
Artículo
Hueso

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

Seguir leyendo
Artículo
Hueso

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

Seguir leyendo
Artículo
Hueso

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

Seguir leyendo