Literature DB >> 32617080

Artificial intelligence in radiotherapy.

Sarkar Siddique1, James C L Chow2,3.   

Abstract

Artificial intelligence (AI) has already been implemented widely in the medical field in the recent years. This paper first reviews the background of AI and radiotherapy. Then it explores the basic concepts of different AI algorithms and machine learning methods, such as neural networks, that are available to us today and how they are being implemented in radiotherapy and diagnostic processes, such as medical imaging, treatment planning, patient simulation, quality assurance and radiation dose delivery. It also explores the ongoing research on AI methods that are to be implemented in radiotherapy in the future. The review shows very promising progress and future for AI to be widely used in various areas of radiotherapy. However, basing on various concerns such as availability and security of using big data, and further work on polishing and testing AI algorithms, it is found that we may not ready to use AI primarily in radiotherapy at the moment.
© 2020 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Machine learning; Medical imaging; Radiotherapy

Year:  2020        PMID: 32617080      PMCID: PMC7321818          DOI: 10.1016/j.rpor.2020.03.015

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  68 in total

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-06       Impact factor: 9.236

Review 2.  Artificial Intelligence in Cardiology.

Authors:  Kipp W Johnson; Jessica Torres Soto; Benjamin S Glicksberg; Khader Shameer; Riccardo Miotto; Mohsin Ali; Euan Ashley; Joel T Dudley
Journal:  J Am Coll Cardiol       Date:  2018-06-12       Impact factor: 24.094

3.  A kernel-based method for markerless tumor tracking in kV fluoroscopic images.

Authors:  Xiaoyong Zhang; Noriyasu Homma; Kei Ichiji; Makoto Abe; Norihiro Sugita; Yoshihiro Takai; Yuichiro Narita; Makoto Yoshizawa
Journal:  Phys Med Biol       Date:  2014-08-07       Impact factor: 3.609

4.  Expert system classifier for adaptive radiation therapy in prostate cancer.

Authors:  Gabriele Guidi; Nicola Maffei; Claudio Vecchi; Giovanni Gottardi; Alberto Ciarmatori; Grazia Maria Mistretta; Ercole Mazzeo; Patrizia Giacobazzi; Frank Lohr; Tiziana Costi
Journal:  Australas Phys Eng Sci Med       Date:  2017-03-13       Impact factor: 1.430

Review 5.  Survey on deep learning for radiotherapy.

Authors:  Philippe Meyer; Vincent Noblet; Christophe Mazzara; Alex Lallement
Journal:  Comput Biol Med       Date:  2018-05-17       Impact factor: 4.589

6.  Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.

Authors:  Holger R Roth; Le Lu; Jiamin Liu; Jianhua Yao; Ari Seff; Kevin Cherry; Lauren Kim; Ronald M Summers
Journal:  IEEE Trans Med Imaging       Date:  2015-09-28       Impact factor: 10.048

7.  Guidelines for reinforcement learning in healthcare.

Authors:  Omer Gottesman; Fredrik Johansson; Matthieu Komorowski; Aldo Faisal; David Sontag; Finale Doshi-Velez; Leo Anthony Celi
Journal:  Nat Med       Date:  2019-01       Impact factor: 53.440

Review 8.  The role of radiation therapy in bone metastases management.

Authors:  Francesca De Felice; Andrea Piccioli; Daniela Musio; Vincenzo Tombolini
Journal:  Oncotarget       Date:  2017-04-11

9.  Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness.

Authors:  Michiru Nishita; Seung-Yeol Park; Tadashi Nishio; Koki Kamizaki; ZhiChao Wang; Kota Tamada; Toru Takumi; Ryuju Hashimoto; Hiroki Otani; Gregory J Pazour; Victor W Hsu; Yasuhiro Minami
Journal:  Sci Rep       Date:  2017-01-26       Impact factor: 4.379

Review 10.  Classification of Rectus Diastasis-A Proposal by the German Hernia Society (DHG) and the International Endohernia Society (IEHS).

Authors:  Wolfgang Reinpold; Ferdinand Köckerling; Reinhard Bittner; Joachim Conze; René Fortelny; Andreas Koch; Jan Kukleta; Andreas Kuthe; Ralph Lorenz; Bernd Stechemesser
Journal:  Front Surg       Date:  2019-01-28
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  8 in total

1.  Artificial Intelligence in Radiation Therapy.

Authors:  Yabo Fu; Hao Zhang; Eric D Morris; Carri K Glide-Hurst; Suraj Pai; Alberto Traverso; Leonard Wee; Ibrahim Hadzic; Per-Ivar Lønne; Chenyang Shen; Tian Liu; Xiaofeng Yang
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2021-08-24

2.  Retrospective Clinical Evaluation of a Decision-Support Software for Adaptive Radiotherapy of Head and Neck Cancer Patients.

Authors:  Sebastien A A Gros; Anand P Santhanam; Alec M Block; Bahman Emami; Brian H Lee; Cara Joyce
Journal:  Front Oncol       Date:  2022-06-30       Impact factor: 5.738

3.  Dose Super-Resolution in Prostate Volumetric Modulated Arc Therapy Using Cascaded Deep Learning Networks.

Authors:  Dong-Seok Shin; Kyeong-Hyeon Kim; Sang-Won Kang; Seong-Hee Kang; Jae-Sung Kim; Tae-Ho Kim; Dong-Su Kim; Woong Cho; Tae Suk Suh; Jin-Beom Chung
Journal:  Front Oncol       Date:  2020-11-16       Impact factor: 6.244

Review 4.  Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review.

Authors:  Lu Xu; Leslie Sanders; Kay Li; James C L Chow
Journal:  JMIR Cancer       Date:  2021-11-29

5.  Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy.

Authors:  Xudong Xue; Yi Ding; Jun Shi; Xiaoyu Hao; Xiangbin Li; Dan Li; Yuan Wu; Hong An; Man Jiang; Wei Wei; Xiao Wang
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

6.  Robust automated radiation therapy treatment planning using scenario-specific dose prediction and robust dose mimicking.

Authors:  Oskar Eriksson; Tianfang Zhang
Journal:  Med Phys       Date:  2022-03-30       Impact factor: 4.506

7.  Development of deep learning chest X-ray model for cardiac dose prediction in left-sided breast cancer radiotherapy.

Authors:  Yutaro Koide; Takahiro Aoyama; Hidetoshi Shimizu; Tomoki Kitagawa; Risei Miyauchi; Hiroyuki Tachibana; Takeshi Kodaira
Journal:  Sci Rep       Date:  2022-08-12       Impact factor: 4.996

Review 8.  Treatment-integrated imaging, radiomics, and personalised radiotherapy: the future is at hand.

Authors:  Julian Malicki; Tomasz Piotrowski; Ferran Guedea; Marco Krengli
Journal:  Rep Pract Oncol Radiother       Date:  2022-09-19
  8 in total

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