Session date: 
Wednesday, August 5, 2020 - 7:00am to 8:00am
  • 1.00 AMA PRA Category 1 Credit(s)™
    AMA PRA Category 1 Credit(s)™
  • 1.00 Hours of Participation
    Hours of Participation credit.

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Program Description: 
We will discuss current big data collaborations including IRIS registry and SOURCE. Then we will discuss current state of artificial intelligence for image recognition, and pitfalls/promises on the horizon.
 
 
 
ACCME Accreditation Statement:
The Medical College of Wisconsin is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
 
AMA Credit Designation Statement:
The Medical College of Wisconsin designates this Live Activity for a maximum of 1.00 AMA PRA Category 1 Credit(s) ™.  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 1.00 hours of participation for continuing education for allied health professionals.  
Target audience: 
  • Physician
  • Physician (fellow/resident)
  • Community eye care professionals
  • Optometrists
  • Ophthalmic photographers
Learning objectives: 
  1. Gain familiarity with the primary national registry in ophthalmology
  2.  Understand how artificial intelligence is used to interpret images in supervised and unsupervised methods
  3. Learn about the challenges and upcoming advances in AI

 

Faculty & credentials: 
Presenter:
Baseer Ahmad, MD 
Associate Professor of Ophthalmology
Medical College of Wisconsin

 

 

All persons in control of content has no relevant financial relationships to disclose with the exception of: 
Name:Company:Role:
   

In accordance with the ACCME®  Standards for Commercial Support Number 6, all in control of content disclosed any relevant financial relationships. These relationships were reviewed via the MCW conflict of interest resolution process and resolved 

Contact

Name: 
Mary Schafer
Phone number: 
+1 (414) 955-7840