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Rare disease research consortium guidance on AI diagnostic tools

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The challenge
  • A rare disease research consortium sought to identify barriers to adoption of AI-enabled, point-of-care diagnostic decision support tools, and provide guidance for the ongoing development of new tools
Our solution
  • We conducted a landscape assessment – including convening an advisory board with leading KOLs and AI diagnostic tool manufacturers – to identify barriers and enablers of adoption of marketed AI diagnostic tools to date
  • We also provided guidance for ongoing and future tool development
The results
  • Findings were compiled into both an abstract and upcoming manuscript to be published as official guidance for ongoing AI diagnostic tool development in this rare disease