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Evaluating the impact of artificial intelligence-assisted image analysis on the diagnostic accuracy of front-line clinicians in detecting fractures on plain X-rays (FRACT-AI): protocol for a prospective observational study.

Alex NovakMax HollowdayAbdala Trinidad Espinosa MorgadoJason OkeSusan Cheng ShelmerdineNicholas WoznitzaDavid MetcalfeMatthew L CostaSarah WilsonJian Shen KiamJames VazNattakarn LimphaiboolJeanne VentreDaniel JonesLois GreenhalghFergus GleesonNick WelchAlpesh MistryNatasa DevicJames TehSarim Ather
Published in: BMJ open (2024)
This study is registered with ISRCTN (ISRCTN19562541) and ClinicalTrials.gov (NCT06130397). The paper reports the results of a substudy of STEDI2 (Simulation Training for Emergency Department Imaging Phase 2).
Keyphrases
  • artificial intelligence
  • emergency department
  • machine learning
  • big data
  • deep learning
  • high resolution
  • randomized controlled trial
  • virtual reality
  • palliative care
  • photodynamic therapy
  • drug induced