Home Schedule Becich-Friedman Distinguished Oral Presentations Poster Schedule Oral Abstract Schedule 2023 Travel Awardees CME Credits Venue and Hotels Exhibitors Faculty Planning Committee

 

CME Accreditation 2023

 

2023 Conference Objectives

• Define the rapidly evolving field of Digital Pathology and showcase associated opportunities for an expedited adoption of new workflow models leveraging machine learning, artificial intelligence, and hardware solutions
• Understand and learn tenants of business analytics, machine learning and computational pathology
• Understand the various software and hardware products available in the clinical laboratory and pathology market by interacting with many exhibitors
• Understand the requirements to deploy informatics solutions in the clinical diagnostic laboratory
• Present new research in pathology informatics based on submitted competitive scientific abstracts
• Provide a forum for basic pathology informatics instruction for house officers and fellows in pathology training programs.
• Provide updated best practices in the rapidly evolving area of digital pathology primary diagnosis

After completing this activity participants will be able to 1) create new opportunities for data management and collaboration within the healthcare enterprise, 2) demonstrate and grow their clinical informatics skills, 3) initiate machine learning and AI tool development, 4) identify and develop mentoring opportunities in informatics, and 5) identify and utilize new research collaborations and stimulate new research opportunities.

  The University of Michigan Medical School is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The University of Michigan Medical School designates this live activity for a maximum of 20.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.