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
下载
收藏
页码:174 / 176
页数:3
相关论文
共 50 条
  • [1] Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future
    Wang, Chunhao
    Zhu, Xiaofeng
    Hong, Julian C.
    Zheng, Dandan
    TECHNOLOGY IN CANCER RESEARCH & TREATMENT, 2019, 18
  • [2] Artificial intelligence: The opinions of radiographers and radiation therapists in Ireland
    Ryan, M-L
    O'Donovan, T.
    McNulty, J. P.
    RADIOGRAPHY, 2021, 27 (S1) : S74 - S82
  • [3] Artificial intelligence: the opinions of radiation therapists in Ireland.
    Donovan, T. O'
    McNulty, J.
    Ryan, M.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S1647 - S1647
  • [4] Big data and artificial intelligence - Tools to be future ready?
    Joshi, Shrinivas
    Vibhute, Giriraj
    Ayachit, Apoorva
    Ayachit, Guruprasad
    INDIAN JOURNAL OF OPHTHALMOLOGY, 2021, 69 (07) : 1652 - 1653
  • [5] Artificial Intelligence Is the Future of Surgical Departments ... Are We Ready?
    Valente, Marina
    Bellini, Valentina
    Del Rio, Paolo
    Freyrie, Antonio
    Bignami, Elena
    ANGIOLOGY, 2023, 74 (04) : 397 - 398
  • [6] The Future of Artificial Intelligence in Radiation Oncology
    Thompson, Reid F.
    Valdes, Gilmer
    Fuller, Clifton David
    Carpenter, Colin M.
    Morin, Olivier
    Aneja, Sanjay
    Lindsay, William D.
    Aerts, Hugo J. W. L.
    Agrimson, Barbara
    Deville, Curtiland
    Rosenthal, Seth A.
    Yu, James B.
    Thomas, Charles R., Jr.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2018, 102 (02): : 247 - 248
  • [7] Artificial Intelligence in radiotherapy: state of the art and future directions
    Francolini, Giulio
    Desideri, Isacco
    Stocchi, Giulia
    Salvestrini, Viola
    Ciccone, Lucia Pia
    Garlatti, Pietro
    Loi, Mauro
    Livi, Lorenzo
    MEDICAL ONCOLOGY, 2020, 37 (06)
  • [8] Artificial Intelligence in radiotherapy: state of the art and future directions
    Giulio Francolini
    Isacco Desideri
    Giulia Stocchi
    Viola Salvestrini
    Lucia Pia Ciccone
    Pietro Garlatti
    Mauro Loi
    Lorenzo Livi
    Medical Oncology, 2020, 37
  • [9] Bladder Cancer Radiation Oncology of the Future: Prognostic Modelling, Radiomics, and Treatment Planning With Artificial Intelligence
    Moore, Nicholas S.
    McWilliam, Alan
    Aneja, Sanjay
    SEMINARS IN RADIATION ONCOLOGY, 2023, 33 (01) : 70 - 75
  • [10] Artificial intelligence and the future in health policy, planning and management
    Lopes, Mario Amorim
    Martins, Henrique
    Correia, Tiago
    INTERNATIONAL JOURNAL OF HEALTH PLANNING AND MANAGEMENT, 2024, 39 (01): : 3 - 8