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Reporting Standards, Certification/Accreditation, and Reproducibility

  • Gyorgy Simon,
  • Constantin Aliferis

摘要

This chapter covers the interrelated topics of (a) enhancing the quality, safety and reproducibility of clinical AI/ML via reporting standards frameworks; (b) recent efforts for accrediting health care provider organizations for AI readiness and maturity; (c) professional certification; and (d) education and related accreditation in the space of educational programs of data science and biomedical informatics specific to AI/ML.