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2021;4 727856.

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare.

David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner
Author Information
  1. David Benrimoh: Department of Psychiatry, McGill University, Montreal, QC, Canada.
  2. Sonia Israel: Aifred Health, Inc., Montreal, QC, Canada.
  3. Robert Fratila: Aifred Health, Inc., Montreal, QC, Canada.
  4. Caitrin Armstrong: Aifred Health, Inc., Montreal, QC, Canada.
  5. Kelly Perlman: Aifred Health, Inc., Montreal, QC, Canada.
  6. Ariel Rosenfeld: Department of Information Science, Bar-Ilan University, Ramat Gan, Israel.
  7. Adam Kapelner: Department of Mathematics, Queens College (CUNY), New York City, NY, United States.
PMID: 34322667 DOI: 10.3389/fdata.2021.727856

Abstract

No abstract text available.

Keywords

artificial inteligence effectiveness explainability healthcare machine learning safety

References

  1. Prog Neuropsychopharmacol Biol Psychiatry. 2001 May;25(4):855-66 [PMID: 11383981]
  2. Sci Eng Ethics. 2004 Jan;10(1):73-9 [PMID: 14986774]
  3. Br J Ophthalmol. 1989 Oct;73(10):823-6 [PMID: 2818992]
Editorial
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