Hacking and Artificial Intelligence in Radiology: Basic Principles of Data Integrity and Security

Abstract

Dr. Ritenour is Professor, Department of Radiology and Radiological Science, Medical University of South Carolina, 96 Jonathan Lucas St, MSC 323, 210 CSB, Charleston, SC 29425; E-mail: [email protected]. After participating in this educational activity, the radiologist should be better able to describe the principles of artificial intelligence and data security and explain how these features enhance the efficacy and reliability of the diagnostic process. All authors, faculty, and staff have no relevant financial relationships with any ineligible organizations regarding this educational activity. Lippincott Continuing Medical Education Institute, Inc., is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. Lippincott Continuing Medical Education Institute, Inc., designates this enduring material for a maximum of 2 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. To earn CME credit, you must read the CME article and complete the quiz and evaluation on the enclosed answer form, answering at least seven of the 10 quiz questions correctly. This continuing medical education activity expires on February 27, 2025.

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