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Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers’ perspectives

Expiry Date
: 16/02/2031
CPD Units
: 3.00 Points

A cross-sectional study exploring radiographers’ perspectives on ethical challenges of AI in radiography, highlighting concerns about transparency, privacy, bias, trust, and the need for ethical guidelines and training.

Keywords: Artificial intelligence, radiography, ethics; transparency, patient privacy, bias, trust, radiographers’ perspectives, ethical guideline, diagnostic imaging.

Reading material:

Educational Objectives

Educational Aim:

To enhance practitioners’ understanding of radiographers’ ethical concerns and responsibilities when integrating AI into radiographic practice.

Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

  1. Key ethical issues radiographers associate with AI, including transparency, privacy, and professional autonomy.
  2. Varying levels of familiarity and trust influence radiographers’ readiness for AI integration.
  3. The need for ethical guidelines, training, and policy development to support responsible AI use in radiography.

Instructions for this Module

  • Read the supplied reading material and complete the quiz that follows;
  • You have three attempts to pass the quiz;
  • The pass grade is 70%;
  • You need to pass the quiz to claim your CPD certificate;
  • Please click on the CPD certificate link below to claim your CPD certificate and to update your CPD Manager.

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