Literature DB >> 31538513

Application of artificial intelligence (AI) in Radiotherapy workflow: Paradigm shift in Precision Radiotherapy using Machine Learning.

Ian S Boon1, Tracy P T Au Yong2, Cheng S Boon3.   

Abstract

Mesh：

Year:  2019        PMID： 31538513      PMCID： PMC6849677          DOI： 10.1259/bjr.20190716

Source DB:  PubMed          Journal:  Br J Radiol        ISSN： 0007-1285            Impact factor:   3.039


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  2 in total

1.  Use of normal tissue complication probability models in the clinic.

Authors:  Lawrence B Marks; Ellen D Yorke; Andrew Jackson; Randall K Ten Haken; Louis S Constine; Avraham Eisbruch; Søren M Bentzen; Jiho Nam; Joseph O Deasy
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

Review 2.  Applications and limitations of machine learning in radiation oncology.

Authors:  Daniel Jarrett; Eleanor Stride; Katherine Vallis; Mark J Gooding
Journal:  Br J Radiol       Date:  2019-06-05       Impact factor: 3.629
  2 in total
  2 in total

1.  Radiomics: Quantitative Radiology transforming Oncology Care.

Authors:  Ian S Boon; Moi H Yap; Tracy P T Au Yong; Cheng S Boon
Journal:  Br J Radiol       Date:  2020-05-06       Impact factor: 3.039

2.  A pilot study of machine-learning based automated planning for primary brain tumours.

Authors:  Derek S Tsang; Grace Tsui; Chris McIntosh; Thomas Purdie; Glenn Bauman; Hitesh Dama; Normand Laperriere; Barbara-Ann Millar; David B Shultz; Sameera Ahmed; Mohammad Khandwala; David C Hodgson
Journal:  Radiat Oncol       Date:  2022-01-06       Impact factor: 3.481
  2 in total

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