ACCME Accreditation Statement:
This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education through the joint providership of The Medical College of Wisconsin and The Milwaukee Roentgen Ray Society. The Medical College of Wisconsin is accredited by the ACCME to provide continuing medical education for physicians.

AMA Credit Designation Statement:
The Medical College of Wisconsin designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Hours of Participation for Allied Health Care Professionals:
The Medical College of Wisconsin designates this activity for up to 1.0 hours of participation for continuing education for allied health professionals.

Session date: 
Wednesday, January 9, 2019 - 6:30pm to 7:30pm
Westmoor Country Club
400 S. Moreland Drive
Brookfield, WI 53005
United States
  • 1.00 AMA PRA Category 1 Credit(s)™
    AMA PRA Category 1 Credit(s)™
  • 1.00 Hours of Participation
    Hours of Participation credit.

Please login or register to take this course.
Target audience: 


Learning objectives: 

1. Enhance existing knowledge and relavant patient care practices related to AI, machine learning and deep learning

2. Discuss how AI, machine learning and deep learning are evolving practice

3. Integrate current literature‐ and research based findings with existing knowledge on AI, machine and deep learning

Faculty & credentials: 

Dr. Charles Kahn
Professor of Radiology – University of Pennsylvania 
Artificial Intelligence, Machine Learning and Deep Learning

Activity Director:
Mark Hohenwalter, MD

Planning Committee:
Margaret Mulligan, PhD
Belinda Dorn, AA


All persons in control of content have NO relevant financial relationships to disclose.

CME Coordinator Contact Information

Belinda Dorn
Phone number: 
+1 (414) 339-8330