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Democratizing Artificial Intelligence in Anatomic Pathology.

Thomas J Flotte1, Stephanie A Derauf1, Rachel K Byrd1

  • 1From the Department of Laboratory Medicine & Pathology, Mayo Clinic, Rochester, Minnesota (Flotte, Derauf, Byrd, Kroneman, Bell, Hart, Garcia).

Archives of Pathology & Laboratory Medicine
|April 22, 2024
PubMed
Summary
This summary is machine-generated.

An ecosystem was developed to support pathologists in creating artificial intelligence algorithms. This approach democratizes AI in pathology, reducing costs and accelerating adoption.

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Area of Science:

  • Pathology
  • Medical Informatics
  • Computer Science

Background:

  • Artificial intelligence (AI) is revolutionizing anatomic pathology.
  • Workforce involvement is crucial for AI algorithm development and implementation.

Purpose of the Study:

  • To establish a supportive ecosystem enabling pathologists of all expertise levels to develop AI algorithms.
  • To ensure a seamless transition from development to production environments for AI tools.

Main Methods:

  • A vended solution was chosen over internal development due to timeline and resource constraints.
  • Vendor proposals were evaluated by pathology, IT, and security teams.
  • An initial cohort of 84 investigators received training and expert support, with 30 projects progressing through model development.

Main Results:

  • A vended solution facilitated the establishment of AI development and production pipelines.
  • 30 out of 31 AI algorithm development projects successfully completed annotation, training, and validation.
  • 15 project abstracts were submitted to national scientific meetings.

Conclusions:

  • Democratizing AI in pathology by creating a supportive ecosystem lowers entry barriers.
  • This approach reduces the overall cost of AI algorithm development.
  • Improved algorithm quality and faster adoption rates are anticipated outcomes.