AimThis study will evaluate radiation medicine professionals' perceptions of clinical and
professional risks and benefits, and the evolving roles and responsibilities with artificial …

Introduction The use of artificial intelligence (AI) has increased in medical radiation science,
with advanced computing and modelling. Considering radiation therapists (RTs) perceptions …

Automation and artificial intelligence (AI) is already possible for many radiation therapy
planning and treatment processes with the aim of improving workflows and increasing …

Abstract Background Artificial Intelligence (AI) is making a continuous progression into the
field of Radiation Oncology in Canada and globally. While this field continues to evolve …

Introduction Advances in computing capabilities and automated data collection have led to
an increase in the use of Artificial Intelligence (AI) in radiation therapy. This has implications …

Objective Radiation oncology is a continually evolving speciality. With the development of
new imaging modalities and advanced imaging processing techniques, there is an …

Purpose/objective To date there has been limited research looking at patient views on the
implementation of artificial intelligence (AI) in radiotherapy. The aim of this study is to adapt …

Purpose Artificial intelligence (AI) is about to touch every aspect of radiation therapy, from
consultation to treatment planning, quality assurance, therapy delivery, and outcomes …

Innovations in artificial intelligence (AI) are driving a new industrial revolution, and as a
result, the medical radiation sciences is experiencing transformational, open, beneficial, yet …

Although the future is difficult to predict, we expect that artificial intelligence (AI) will
transform radiation oncology as a specialty. Just as with intensity-modulated radiation …