This study aims to gather insights into how Generative Artificial Intelligence (GenAI) tools, such as ChatGPT, Microsoft Copilot, Claude, and similar applications, should be integrated into radiography education to support learning, maintain professional standards, and ensure patient safety.

The findings will help inform the development of a profession-led framework for the responsible implementation of GenAI in radiography education.

This survey closes 16 November 2026.

Clinicians working in radiation oncology are invited to participate in a national research study exploring survivorship care practices and experiences. This study, led by the Adelaide University School of Allied Health and Human Performance, aims to better understand how survivorship care is currently delivered following radiation therapy, and to identify opportunities to improve care for cancer survivors.

Who can participate?

• Ahpra-registered clinicians currently practising in Australia
• Working in radiation oncology (e.g. radiation oncologists, radiation therapists, oncology nurses)

What does participation involve?

• Completing a short, anonymous online survey (~10–15 minutes)
• Questions focus on survivorship care practices, confidence, communication, and perceived barriers

Why participate?

Your insights will help:

• Inform future survivorship care models
• Identify gaps between clinician practice and survivor experiences
• Support improvements in education, coordination, and patient outcomes

Participation is voluntary and completely anonymous.

This study has been approved by IRIS Ethics Human Research Ethics Committee (Approval Number: AU5465). Should you have any concerns regarding this survey, you may contact the Student Investigator, Kelly Skelton at Kelly.skelton@adelaide.edu.au.

Survey closes 31 March 2027.

This survey has been approved for distribution but not endorsed by the Australian Society of Medical Imaging and Radiation Therapy.