Artificial Intelligence and the future of radiotherapy planning: The Australian radiation therapists prepare to be ready

被引:0
|
作者
Panettieri, Vanessa [1 ,2 ,3 ,4 ]
Gagliardi, Giovanna [5 ,6 ]
机构
[1] Peter MacCallum Canc Ctr, Dept Phys Sci, 305 Grattan St, Melbourne, Vic, Australia
[2] Univ Melbourne, Sir Peter MacCallum Dept Oncol, Melbourne, Vic, Australia
[3] Monash Univ, Cent Clin Sch, Melbourne, Vic, Australia
[4] Monash Univ, Dept Med Imaging & Radiat Sci, Clayton, Vic, Australia
[5] Karolinska Univ Hosp, Med Radiat Phys Dept, Stockholm, Sweden
[6] Karolinska Inst, Dept Oncol Pathol, Stockholm, Sweden
关键词
ADAPTIVE RADIOTHERAPY;
D O I
10.1002/jmrs.791
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The use of artificial intelligence (AI) solutions is rapidly changing the way radiation therapy tasks, traditionally relying on human skills, are approached by enabling fast automation. This evolution represents a paradigm shift in all aspects of the profession, particularly for treatment planning applications, opening up opportunities but also causing concerns for the future of the multidisciplinary team. In Australia, radiation therapists (RTs), largely responsible for both treatment planning and delivery, are discussing the impact of the introduction of AI and the potential developments in the future of their role. As medical physicists, who are part of the multidisciplinary team, in this editorial we reflect on the considerations of RTs, and on the implications of this transition to AI.
引用
收藏
页码:174 / 176
页数:3
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