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Artificial intelligence in medical device software and high-risk medical devices - a review of definitions, expert recommendations and regulatory initiatives.

Alan G FraserElisabetta BiasinBart BijnensNico BruiningEnrico G CaianiKoen CobbaertRhodri H DaviesStephen H GilbertLeo HovestadtErik KamenjasevicZuzanna KwadeGearóid McGauranGearóid O'ConnorBaptiste VaseyFrank E Rademakers
Published in: Expert review of medical devices (2023)
The level of clinical evidence required should be determined according to each application and to legal and methodological factors that contribute to risk, including accountability, transparency, and interpretability. EU guidance for MDSW based on international recommendations does not yet describe the clinical evidence needed for medical AI software. Regulators, notified bodies, manufacturers, clinicians and patients would all benefit from common standards for the clinical evaluation of high-risk AI applications and transparency of their evidence and performance.
Keyphrases
  • artificial intelligence
  • machine learning
  • healthcare
  • big data
  • deep learning
  • transcription factor
  • clinical practice
  • end stage renal disease
  • ejection fraction
  • palliative care
  • peritoneal dialysis
  • data analysis