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Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoriasis and Psoriatic Arthritis: A Proof-of-Concept Study.

Dan E WebsterRebecca H HabermanLourdes Maria Perez-ChadaMeghasyam TummalacherlaAryton TediarjoVijay YadavElias Chaibub NetoWoody MacDuffieMichael DePhillipsEric SiegSydney CatronCarly GrantWynona FrancisMarina NguyenMuibat YussuffRochelle L CastilloDi YanAndrea L NeimannSoumya M ReddyPhilip S HelliwellAthanassios KolivrasMichael R KellenLara M MangraviteSolveig K SiebertsLarsson OmbergJoseph F MerolaJose U Scher
Published in: The Journal of rheumatology (2024)
The Psorcast digital assessments achieved significant clinical validity, although they require further validation in larger cohorts before use in evidence-based medicine or clinical trial settings. The smartphone software and analysis pipelines from the Psorcast suite are open source and freely available.
Keyphrases
  • machine learning
  • clinical trial
  • big data
  • data analysis
  • study protocol
  • double blind
  • phase iii