This workshop aims to provide attendees with comprehensive insights into the emerging areas of Artificial Intelligence (AI) and Machine Learning (ML) and their potential positive impacts on the practice of anatomic pathology and laboratory medicine. The workshop will cover a range of topics including AP and CP practice, logistics, management, billing, operations.  An initial primer on AI will be provided.

This pre-meeting workshop offers a unique opportunity for pathologists and laboratory professionals to interactively explore the latest advancements in AI and ML, and their implications for the fields of anatomic pathology and lab medicine. Participants will leave with valuable insights and direct experiences from interactively leveraging practical AI/ML tools and technologies in simulated, web-based use-case scenarios, towards the goal of acquiring and enhancing new data sciences skills. Emphasis will be placed on activities that foster improvements in diagnostic accuracy, operational efficiency, and overall quality of patient care.

Participants are encouraged to bring a laptop/tablet to participate in hands-on activities.

Faculty/Authors

Hamid Tizhoosh, PhD
Ulysses Balis, MD, PhD, FASCP
Amron Obstfeld, MD, PhD

Physician Competencies: Patient Care, Medical Knowledge, Professionalism, Interpersonal Skills Communication

CME/CMLE Credit: 1.0
Estimated Completion Time: 1 hour
Format: Online Educational Activity

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:

1. Review the Technical Considerations.
2. Review the Faculty Disclosures.
3. Click Go to Course to view an overview of the modules in this course.
4. Click Access to begin the course.
5. Submit the course Evaluation.
6. Enter the maximum number of credits offered and click Claim CME to register credit.

Faculty Disclosure

Technical Considerations

Release Date: 08/19/2022
Review Date:
Expiration Date: 03/06/2025