The College has made available recorded sessions from some of the former scientific meetings and local Branch events through a webcast library. The library contains a suite of sessions from 2010 onwards.

TAR Webinar Series

A series of webinars have been developed to inform trainees, Directors of Training, and Networks about the key changes to the Clinical Radiology and Radiation Oncology Training Programs.

Each of the webinars will feature clinicians that have been involved in the development of the various components of the 2022 Training Program. The webinar series provides an overview of the 2022 Training Program including learning outcomes, transition arrangements, work-based assessments, and the e-Portfolio system.

View the TAR webinars here.  

Annual Scientific Meetings (ASMs) provide an opportunity to learn about recent advances in the fields of clinical radiology and radiation oncology. They generally comprise a high-quality scientific program, social program and at some events, a trade exhibition and an award ceremony.

The RANZCR ASM takes place in October each year, at a different location in Australia or New Zealand. In addition, the New Zealand Branch also runs their own ASM, which normally takes place in August.

Trainee Learning Day

The Trainee Learning Day forms part of the College’s Annual Scientific Meeting (usually Friday). The program for the day is determined by the Clinical Radiology Trainees Committee and usually includes teaching sessions, trainee presentations (Branch of Origin, Varian session), a discussion forum and dedicated topical sessions.

Branch of Origin

The RANZCR Branch of Origin was established to support the research requirements of Clinical Radiology Training Program.

Participating Branches of the College hold an annual Trainee Presentation Evening, where trainees present their research work in line with the training research requirements. The most outstanding presentation from each Branch then presents at the College’s Annual Scientific Meeting in the ‘Branch of Origin’ session, as part of the Trainee Learning Day.

There are awards/prizes available to trainees at a Branch level and at the national level, including a perpetual shield.

For more information on the ASM, please click here. 

Basic Clinical Radiobiology Course

The ESTRO Basic Clinical Radiobiology Course is a jointly hosted course between the College and the European Society for Therapeutic Radiology and Oncology (ESTRO) School.

This four day course represents a unique and valuable opportunity for radiation oncology professionals to learn from an international faculty of expert radiobiologists and clinicians and addresses an unmet need in radiobiology education in Australia.

FALCON Workshops

The ESTRO presents FALCON workshops throughout the year and on some occasions in an Australian time setting. FALCON (Fellowship in Anatomic Delineation and Contouring) is the multifunctional ESTRO platform for contouring and delineation.

A FALCON workshop offers the opportunity for learners to:

• Validate their contouring practice during live workshops by comparing them with those from experts and other participants
• Learn the indications proposed by the experts that coordinate the workshops
• Discuss with other participants, experts and panelists
• Communicate and use the delineation guidelines in order to further integrate themselves into daily practice.

For more information, refer to the ESTRO website.

The College is committed to supporting the professions of clinical radiology and radiation oncology to contribute to equitable health outcomes for Māori, Aboriginal and Torres Strait Islander Peoples.

Throughout the Training Program, trainees are encouraged to develop their cultural competency and reflect on their own practice of cultural safety. To support trainees, the College has developed a Cultural Safety resource page on the College website providing access to a range of modules and resources.

To access these resources, refer to the Cultural Safety webpage. 

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 Radiation Oncology trainees with the opportunity to increase their awareness and understanding of AI, online resources are available below.

Principles of AI

• Introductory lecture by Alan Blair
• Basics of Machine Learning
  • Introduction to machine learning 
  • The basic principles of machine learning 
  • What is a neural network? 
  • Machine Learning for Humans

The Ethics, Current Setting and Implications of AI Relevant to Medical Imaging 

• RANZCR Ethical Principles for use of AI in Medicine  
• RANZCR Artificial Intelligence in Radiology and Radiation Oncology: The State of Play 2019 
• RANZCR Position Statement on the Regulation of Artificial Intelligence in Medicine

The current state and future trajectory 

• Artificial Intelligence in Radiation Oncology
• Bias in AI and medicine
• Ethics of AI in Radiology: European and North American Multi-society Statement

Further Resources

• Neural Networks and Deep Learning
• Neural Network Training Tools and Visualisation
  • https://playground.tensorflow.org
  • https://cs.stanford.edu/people/karpathy/convnetjs/demo/cifar10.html
  • https://teachablemachine.withgoogle.com/
  • https://bigml.com/
  • https://www.openml.org/ 
• Deep Learning Fundamentals
• University of Washington Radiology Deep Learning Pathway
• Machine Learning Resources
• Machine Learning in Oncology: Methods, Applications, and Challenges
• Radiomics for Predicting Lung Cancer Outcomes Following Radiotherapy: A Systematic Review
• Reading the Mind of a Machine: Hopes and Hypes of Artificial Intelligence for Clinical Oncology Imaging
• Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide