General Applicability of Existing College of American Pathologists Accreditation Requirements to Clinical Implementation of Machine Learning-Based Methods in Molecular Oncology Testing.

Journal: Archives of pathology & laboratory medicine
Published Date: Apr 1, 2025

Abstract

CONTEXT.—: The College of American Pathologists (CAP) accreditation requirements for clinical laboratory testing help ensure laboratories implement and maintain systems and processes that are associated with quality. Machine learning (ML)-based models share some features of conventional laboratory testing methods. Accreditation requirements that specifically address clinical laboratories' use of ML remain in the early stages of development.

Authors

  • Larissa V Furtado
    From the Department of Pathology, St. Jude Children's Research Hospital, Memphis, Tennessee (Furtado).
  • Kenji Ikemura
    Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Cagla Y Benkli
    the Department of Pathology, Baylor College of Medicine, Houston, Texas (Benkli).
  • Joel T Moncur
    Office of the Director, The Joint Pathology Center, Silver Spring, Maryland (Moncur).
  • Richard S P Huang
    The University of Texas Health Science Center at Houston-Department of Pathology and Laboratory Medicine, Houston, TX, USA Richard.Huang.1@uth.tmc.edu Nghia.D.Nguyen@uth.tmc.edu.
  • Ahmet Zehir
    Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Katherine Stellato
    Proficiency Testing, College of American Pathologists, Northfield, Illinois (Stellato, Vasalos).
  • Patricia Vasalos
    Proficiency Testing, College of American Pathologists, Northfield, Illinois (Stellato, Vasalos).
  • Navid Sadri
    Department of Pathology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA navid.sadri@uhhospitals.org.
  • Carlos J Suarez
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.

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