Planned System Maintenance

Artificial Intelligence (AI) Committee

The Artificial Intelligence (AI) Committee serves as the CAP’s focal point for internal and external AI/ML inquiries and activities, coordinating and triaging cross-council priorities.

The Artificial Intelligence (AI) Committee will serve as a focal point for Artificial Intelligence and Machine Learning (AI and ML) related inquiries and activities for the CAP from internal and external sources and to serve as a coordinating and triaging body for internal AI and ML cross-council priorities.

This committee reports to the Council on Informatics and Pathology Innovation. View a list of the Current Committee Members.

Time Commitment Requirements
Number of face-to-face meetings 4
Length of meetings Full day (1.5 days; virtual in 2021)
Number of conference calls TBD
Number of virtual meetings TBD
Hours/year of committee work required outside of meetings Chair and Vice Chair: 80-85 hours per year
Members: 45-55 hours per year

Activities of Committee

  • Creation and maintenance of an AI strategy
  • Serve as the coordinating entity for council and committee AI and ML activities
  • Serve as a consultant to councils and committees in relation to AI-related projects and programs
  • Provide subject matter expertise to councils and committees in the creation of laboratory standards and related products for AI
  • Collaborate with Advocacy, the Council on Government and Professional Affairs (CGPA) and other appropriate councils and committees to ensure coordination of discussions with regulatory agencies (such as the FDA)
  • Collaborate with industry to foster value-add partnerships and validate AI systems and use cases
  • Work with staff organization and appropriate councils/committees, including CGPA as appropriate, to coordinate discussions with non-government organizations (eg, ACR, Digital Pathology Association, Alliance for Digital Pathology, specialty professional organizations)

Expertise or Experience

  • Familiarity and practical experience with Artificial Intelligence and Machine Learning
  • Familiarity with the needs of councils and/or committees developing AI and ML programs and services
  • Experience in Informatics and Data Science concepts
  • Exposure to emerging AI and ML trends and concepts; relevant applications withing the practice of pathology are a plus
  • Understanding of the CAP enterprise strategy, CAP business and functional strategies, OPEN goals, and performance objectives

Benefits of Committee Membership

  • Be the voice of members – share experience challenges and ideas for innovation and improvements
  • Be a part of the discussion for setting the foundation for AI for the next generation of pathologists and members

Current Committee Members

Chair

Matthew G Hanna, MD, FCAP

Vice Chair

James H Harrison Jr, MD, PhD, FCAP

Member

Rand Abou Shaar, MD, FCAP

W Stephen Black-Schaffer, MD, MA, FCAP

Anthony Cardillo, MD, FCAP

Larissa Viana Furtado, MD, FCAP

Dibson Dibe Gondim, MD, FCAP

Qiangqiang Gu, PhD

Rama Gullapalli, MD, PhD, FCAP

Bryce Hatfield, MD, FCAP

Khalda Ibrahim, MD, FCAP

Brian Richard Jackson, MD, MS, FCAP

Peter McCaffrey, MD, FCAP

Hunter Allan Miller, BS

Fedaa Najdawi, MD, FCAP

Anil V Parwani, MD, PhD, MBA, FCAP

Rebecca Rojansky, MD, PhD, FCAP

Jansen Seheult, MD, MBBCh, MS, MSc, FCAP

Paul Dennis Simonson, MD, FCAP

Nicholas Charles Spies, MD, FCAP

Member-J

Kenneth Zhu, MD,

Committee Manager

Diana De Avila, MLS(ASCP)cm

Kevin D Schap

Interested in Joining this Committee?