Artificial intelligence is a technological advancement looming on the horizon that has the potential to disrupt current laboratory paradigms. Those participating in this course will become more familiar with different types of artificial intelligence and be able to identify their potential applications in their pathology practice. There will be discussion of the motivations for implementing AI and the barriers to its implementation.Faculty/Authors LMU CommitteeCME/CMLE Credit: 1.0 Estimated Completion Time: 1 hour Format: Online Educational Activity and Post ExamPhysician Competencies: Medical knowledge
Eligibility for CME/CMLE Credit: Max three attempts. You will have a maximum of three attempts to meet the following criteria:
Accreditation Statement: The American Society for Clinical Pathology (ASCP) is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education (CME) for physicians. This activity has been planned and implemented in accordance with the Essential Areas and Policies of the Accreditation Council for Continuing Medical Education (ACCME). Credit Designation Statement: The American Society for Clinical Pathology (ASCP) designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Instructions
To claim CME/CMLE credit for the exercise, do the following:
The faculty have no relevant financial relationships with commercial interests to disclose
Technical Considerations
Release Date: 5/9/2022 Review Date:Expiration Date: 5/9/2025
Define artificial intelligence (AI)
Discuss the applications of AI in the practice of pathology
Identify areas of pathology that are most amenable to augmentation with AI
Critique arguments for and against implementing AI in pathology
Examine barriers to the incorporation of AI into current practice