In This Section

Continuing Medical Education

Accreditation Statement

The American Association for Cancer Research (AACR) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education activities for physicians.

Credit Designation Statement

AACR has designated this internet live activity for a maximum of 12.50 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Credit certification for individual sessions may vary, dependent upon compliance with the ACCME Accreditation Criteria. The final number of credits may vary from the maximum number indicated above.

Claiming CME Credit

Physicians and other health care professionals seeking AMA PRA Category 1 Credit(s)TM for this internet live continuing medical education activity must complete the online CME Request for Credit Survey by Thursday, February 25, 2021. Certificates will only be issued to those who complete the survey. Your CME certificate will be sent to you via email after the completion of the activity.

Request for Credit Survey

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 12.50 Medical Knowledge Maintenance of Certification (MOC) points in the American Board of Internal Medicine’s (ABIM) MOC program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider’s responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.  

To receive ABIM MOC, participants must request MOC in the CME Request for Credit Survey and complete all questions. Once these steps are completed, AACR will submit your completion information via the ACCME’s Program and Activity Reporting System for the purpose of granting MOC points.

Printable List of CME-Designated Sessions

Statement of Educational Need, Target Audience, and Learning Objectives

The use of artificial intelligence (AI) in the clinic for cancer risk prediction, detection, diagnosis, and treatment has the potential to revolutionize cancer care. Research has advanced the development of AI algorithms to predict cancer risk. For example, AI algorithms utilizing images from mammograms were able to identify a greater percentage of women who would be a high-risk for developing future disease. AI has also been used to analyze low-dose CT scans of the lungs to predict whether patients would develop lung cancer. In addition to risk prediction, AI algorithms have also utilized epigenetic and genomic data to provide greater diagnostic accuracy and guide treatment decisions as well as accelerate drug development . However, despite the potential for AI to advance cancer imaging, screening, diagnosis, and guide treatment there are challenges to widespread adoption in the clinic and in clinicians’ understanding of the potential applications, benefits, and limitations of AI and how it can be used to enhance cancer care.

After participating in this CME activity, physicians should be able to:

  1. Explain how AI and machine learning can enhance the interpretation of medical images.
  2. Assess the uses of AI for clinical genomics and precision medicine.
  3. Articulate the challenges and opportunities for the use of AI in cancer medicine and the clinic.
  4. Identify the importance of developing data resources and standards, access policies, and benchmarks for the implementation of AI and machine learning in the clinic.

Disclosure Statement

It is the policy of the AACR that the information presented at AACR CME activities will be unbiased and based on scientific evidence. To help participants make judgments about the presence of bias, AACR will provide information that Scientific Program Committee members and speakers have disclosed about financial relationships they have with commercial entities that produce or market products or services related to the content of this CME activity. This disclosure information will be made available on this webpage prior to the conference.

Planner and Speaker Financial Disclosure Index

Acknowledgment of Financial or Other Support

The AACR gratefully acknowledges the following supporters:


Olympus Corporation of the Americas

Questions about CME?

AACR Virtual Special Conference on Artificial Intelligence, Diagnosis, and Imaging FAQ’s

Please contact the Office of CME at (215) 440-9300 or [email protected].