Artificial Intelligence Applications in Radiation Oncology

被引:0
|
作者
Dinapoli, N. [1 ]
Lenkowicz, J. [2 ]
Masciocchi, C. [2 ]
Damiani, A. [2 ]
Boldrini, L. [2 ]
Cusumano, D. [3 ]
Valentini, V. [1 ]
机构
[1] Fdn Policlin Univ A Gemelli IRCCS, UOC Radioterapia Oncol, Dipartimento Diagnost Immagini Radioterapia Oncol, Rome, Italy
[2] Univ Cattolica Sacro Cuore, Dipartimento Diagnost Immagini Radioterapia Oncol, Rome, Italy
[3] Fdn Policlin Univ A Gemelli IRCCS, UOC Fis Sanit, Dipartimento Diagnost Immagini Radioterapia Oncol, Rome, Italy
关键词
D O I
10.1016/S0167-8140(19)30421-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
SP-0001
引用
收藏
页码:S1 / S1
页数:1
相关论文
共 50 条
  • [41] Artificial intelligence applications in oncology: opportunities, feasibility, and regulatory challenges
    Wenz, Frederik
    Ebener, Stefan
    ONKOLOGIE, 2024, 30 (05): : 339 - 346
  • [42] Applications of artificial intelligence in stereotactic body radiation therapy
    Mancosu, Pietro
    Lambri, Nicola
    Castiglioni, Isabella
    Dei, Damiano
    Iori, Mauro
    Loiacono, Daniele
    Russo, Serenella
    Talamonti, Cinzia
    Villaggi, Elena
    Scorsetti, Marta
    Avanzo, Michele
    PHYSICS IN MEDICINE AND BIOLOGY, 2022, 67 (16):
  • [43] Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation?
    Thompson, Reid F.
    Valdes, Gilmer
    Fuller, Clifton D.
    Carpenter, Colin M.
    Morin, Olivier
    Aneja, Sanjay
    Lindsay, William D.
    Aerts, Hugo J. W. L.
    Agrimson, Barbara
    Deville, Curtiland, Jr.
    Rosenthal, Seth A.
    Yu, James B.
    Thomas, Charles R., Jr.
    RADIOTHERAPY AND ONCOLOGY, 2018, 129 (03) : 421 - 426
  • [44] Integrating Artificial Intelligence Into Radiation Oncology: Can Humans Spot AI?
    Shanbhag, Nandan M.
    Bin Sumaida, Abdulrahman
    Binz, Theresa
    Hasnain, Syed Mansoor
    El-Koha, Omran
    Al Kaabi, Khalifa
    Saleh, Mohammad
    Al Qawasmeh, Khaled
    Balaraj, Khalid
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (12)
  • [45] Artificial intelligence in radiation oncology Target volume definition and organ segmentation
    Peeken, J. C.
    Combs, S. E.
    ONKOLOGIE, 2023, 29 (10): : 876 - 882
  • [46] Medical physicists will drive the development and implementation of artificial intelligence in Radiation Oncology
    Van Elmpt, W.
    Jornet, N.
    RADIOTHERAPY AND ONCOLOGY, 2020, 152 : S8 - S8
  • [47] Artificial intelligence and soft skills in radiation oncology: Data versus wisdom
    Boon, Ian S.
    Lim, Jean S.
    Yap, Moi H.
    Yong, Tracy P. T. Au
    Boon, Cheng S.
    JOURNAL OF MEDICAL IMAGING AND RADIATION SCIENCES, 2020, 51 (04) : S114 - S115
  • [48] Artificial Intelligence Potential Impact on Resident Physician Education in Radiation Oncology
    Almeida, Neil D.
    Shekher, Rohil
    Pepin, Abigail
    V. Schrand, Tyler
    Goulenko, Victor
    Singh, Anurag K.
    Fung-Kee-Fung, Simon
    ADVANCES IN RADIATION ONCOLOGY, 2024, 9 (07)
  • [49] Future directions on the merge of quantitative imaging and artificial intelligence in radiation oncology
    Redalen, Kathrine Roe
    Thorwarth, Daniela
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2020, 15 : 44 - 45
  • [50] On the Fuzziness of Machine Learning, Neural Networks, and Artificial Intelligence in Radiation Oncology
    El Naqa, Issam
    Brock, Kristy
    Yu, Yan
    Langen, Katja
    Klein, Eric E.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2018, 100 (01): : 1 - 4