Predictive Modeling: Are Models Using Artificial Intelligence Superior to Standard Statistical Models?

Duarte, CA US
December 17, 2020

There is currently poor knowledge of artificial intelligence (AI) and prognostic models. Clinical usefulness and trustworthiness is of great concern. Predictive models and artificial intelligence (AI) tools are increasingly used and misused because of the lack of best practice guidance. There is an urgent need for a consensus on this matter. This course aims to improve knowledge of modeling principles for prognostic/predictive purposes, by understanding AI clinical applications and its limitations. 

Target Audience

Physicians and researchers.

Learning Objectives

  • Discuss the increasing use of predictive modeling in clinical care.
  • Assess the use and misuse of artificial intelligence (AI) tools in predictive and diagnostic modeling.
  • Demonstrate theoretical considerations and empirical data on the comparison of AI tools versus standard predictive models. 

Additional Information

AttachmentSize
AB 1195 Bibliography155.94 KB
Activity summary
Available credit: 
  • 1.00 AMA PRA Category 1 Credit™
    City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
    City of Hope designates this Predictive Modeling: Are Models Using Artificial Intelligence Superior to Standard Statistical Models? for a maximum of 1.00 AMA PRA Category 1 Credit™ requirements. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
  • 1.00 Attendance
Activity opens: 
12/17/2020
Activity expires: 
12/23/2020
Event starts: 
12/17/2020 - 11:00am
Event ends: 
12/17/2020 - 12:00pm
City of Hope
1500 E Duarte Rd
Duarte, CA 91010
United States

Virtual Meeting- Zoom

John P.A. Ioannidis, MD, DSc   Professor of Medicine and of Epidemiology and Population Health, Stanford University

Dr. Ioannidis has indicated that he has nothing to disclose.

ACCREDITATION STATEMENT: City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

CREDIT DESIGNATION: City of Hope 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. 

The following credit type(s) are being offered for this course:

 AMA PRA Category 1™  1.0

The following may apply AMA PRA Category 1 Credit™ for license renewal:

Registered Nurses: Nurses may report up to 1.0 credit hours toward the continuing education requirements for license renewal by their state Board of Registered Nurses (BRN). AMA PRA Category 1 Credit™ may be noted on the license renewal application in lieu of a BRN provider number.

Physician Assistants: The National Commission on Certification of Physicians Assistants states that AMA PRA Category 1 Credit™ accredited courses are acceptable for CME requirements for recertification.

Available Credit

  • 1.00 AMA PRA Category 1 Credit™
    City of Hope is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
    City of Hope designates this Predictive Modeling: Are Models Using Artificial Intelligence Superior to Standard Statistical Models? for a maximum of 1.00 AMA PRA Category 1 Credit™ requirements. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
  • 1.00 Attendance
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