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Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol.

Viknesh SounderajahHutan AshrafianRobert M GolubShravya ShettyJeffrey De FauwLotty HooftKarel MoonsGary Stephen CollinsDavid MoherPatrick M BossuytAra DarziAlan KarthikesalingamAlastair K DennistonBilal Akhter MateenDaniel TingDarren TreanorDominic KingFelix GreavesJonathan GodwinJonathan Pearson-StuttardLeanne HarlingMatthew McInnesNader RifaiNenad TomasevPasha NormahaniPenny WhitingRavi AggarwalSebastian VollmerSheraz Rehan MarkarTrishan PanchXiaoxuan Liunull null
Published in: BMJ open (2021)
Ethical approval has been granted by the Joint Research Compliance Office at Imperial College London (reference number: 19IC5679). A dissemination strategy will be aimed towards five groups of stakeholders: (1) academia, (2) policy, (3) guidelines and regulation, (4) industry and (5) public and non-specific stakeholders. We anticipate that dissemination will take place in Q3 of 2021.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • big data
  • deep learning
  • mental health
  • adverse drug
  • public health
  • randomized controlled trial
  • clinical practice
  • case control
  • decision making
  • emergency department