Artificial Intelligence

How will artificial intelligence (AI) impact clinical practice?

Radiology and radiation oncology have always been at the forefront of technology adoption in the healthcare industry. These are two areas of medicine are data rich and already using advanced technologies and informatics software.  AI is already proving to be impactful on these disciplines, and the technology is evolving fast.

AI has the capacity to aid clinicians in diagnostics and patient management, as well as a prognostic and predictive tool. However, in order to realise the full benefits of AI, safeguards need to be in place. This includes but is not limited to:

  • appropriate regulatory oversight,
  • comprehensive training of the healthcare team and
  • a supportive and collaborative approach to the development and use of AI.

RANZCR is committed to guiding the safe deployment of AI into clinical practice, to ensure the best possible outcomes for patients and health care workers.

RANZCR commenced work on AI in 2017, and in 2018 formed an AI Working Group which was later converted to an advisory committee. In 2019 we published a landscape paper (Artificial Intelligence: The State of Play 2019 | RANZCR) outlining the impact AI could have on our professions, which outlines the risks and opportunities that AI could bring to our sectors. The AI Committee has since continued to develop content to help guide the safe use of AI in clinical practice and advocate to decision makers and regulators to implement appropriate oversight of the technology at the highest level. RANZCR has also compiled definitions of general AI terms which can be broadly applied to its AI work.


The College actively engages with governments, industry, consumers and other stakeholders in clinical radiology and radiation oncology to ensure consumers have access to quality services. RANZCR consults broadly on all AI work, as this is a rapidly evolving field, and collaboration helps us ensure that a wide spectrum of views are considered.

From an AI perspective, the following have been developed to guide stakeholders in the use of AI:

Clinical Resources

RANZCR is committed to setting, promoting and continuously improving standards of practice for clinical radiology and radiation oncology for the betterment of the people of Australia and New Zealand. The Standards are designed to assist members in achieving best practice. The AI specific Standards for clinical radiology can be found in chapter nine, and the radiation oncology standards are linked below as a standalone module currently undergoing consultation.

Clinical Radiology Standards of Practice


Radiation Oncology AI Practice Standards (draft)

Education Resources

Artificial Intelligence (AI) can help clinicians to better diagnose illness, coordinate treatment plans and increase the efficiency of care delivery across healthcare. It allows for a more efficient and accessible healthcare system that delivers improved outcomes for patients.

To provide members with the opportunity to increase their awareness and understanding of AI, faculty specific online resources are available below.