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Arman Kilic, MD, describes how the roles of artificial intelligence (AI) and machine learning (ML) in the health care market are being shaped and how research in this field is growing.

Educational Objectives 

Upon completion of this activity, participants should be able to:

  • Identify basic machine learning algorithms 
  • Explain applications of machine learning to medicine
  • Describe future direction in this field in health care 


Dr. Kilic has financial interests with the following entity or entities producing health care goods or services as indicated below:

  • Other: Medical Advisory Board, Medtronic, Inc. 

All presenters' disclosures of relevant financial relationships with any entity producing, marketing, re-selling, or distributing health care goods or services used on or consumed by patients is listed above. No other planners, members of the planning committee, speakers, presenters, authors, content reviewers, and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.

Accreditation Statement

The University of Pittsburgh School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education (CME) for physicians.

The University of Pittsburgh School of Medicine designates this enduring material for a maximum of 0.75 AMA PRA Category 1 Credits™. Each physician should only claim credit commensurate with the extent of their participation in the activity. Other health care professionals are awarded (0.075) continuing education units (CEUs) which are equivalent to 0.75 contact hours.

For your credit transcript, please access our website four weeks postcompletion at and follow the link to the Credit Transcript page.

Release Date: 10/31/2019 | Last Modified On: 10/31/2019 | Expires: 11/2/2020

This course has been expired.