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Needs for re-intervention on restored teeth in adults: a practice-based study.

Franck DecupEmmanuelle DantonyCharlène ChevalierAlexandra DavidValentin GarygaMarie TohméFrançois GueyffierPatrice NonyDelphine Maucort-BoulchBrigitte Grosgogeat
Published in: Clinical oral investigations (2021)
Meeting these needs requires the following: (i) consensus definitions and assessment methods for "failure" and (ii) reliable feedbacks on materials, procedures, and satisfaction. Building large and detailed databases fed by networks of motivated practitioners will help analyzing complex success/failure data by artificial intelligence and guiding treatment and research.
Keyphrases
  • artificial intelligence
  • big data
  • machine learning
  • primary care
  • deep learning
  • randomized controlled trial
  • healthcare
  • electronic health record
  • data analysis
  • replacement therapy
  • clinical evaluation