Artificial Intelligence in Radiology

This continuing education course develops a comprehensive understanding of artificial intelligence methods, specifically those related to image-based tasks. The course explores the potential impact of these methods in various aspects of radiology, including an examination of challenges related to the clinical implementation of artificial intelligence within the radiology department.

Approvals & Acceptance

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  AHRA Approved, Category A

  Accepted by the ARRT^® toward your CE requirement
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  NMTCB Accepted

  Counts for NMTCB credential holders
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  California

  Accepted for CRTs, XTs, Supervisors and Operators
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  Florida

  Approved for Technical Category A for Florida technologists
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  Texas: Directly Related

  Counts toward the directly related hours Texas MRTs need (at least 12 of 24)
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  We Report for You: Florida, Texas, Kansas and New Hampshire

  Completions are reported in the first week of each month for the previous month: Florida directly to the Florida Department of Health, Bureau of Radiation Control; Texas, Kansas and New Hampshire to CE Broker. Your state license number must be entered in your dashboard for us to report your credits.
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  All other states

  Accepted

Applicable Disciplines

Learning Objectives

• 1Define key artificial intelligence concepts and methods relevant to medical imaging
• 2Describe AI applications for image-based tasks in radiology practice
• 3Evaluate the potential impact of AI on radiology workflow and diagnostic accuracy
• 4Identify challenges and considerations for clinical implementation of AI in the radiology department

Course Outline

• •Introduction to Artificial Intelligence in Medicine
• •AI Methods for Image-Based Tasks
• •Applications of AI in Radiology
• •Impact on Radiology Workflow and Diagnostics
• •Clinical Implementation Challenges
• •Future Directions for AI in Radiology