The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement.
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| Title: | The Impact of Artificial Intelligence and Machine Learning in Radiation Therapy: Considerations for Future Curriculum Enhancement. |
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| Authors: | Chamunyonga C; School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: crispen.chamunyonga@qut.edu.au., Edwards C; School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia., Caldwell P; School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia., Rutledge P; School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia., Burbery J; School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. |
| Source: | Journal of medical imaging and radiation sciences [J Med Imaging Radiat Sci] 2020 Jun; Vol. 51 (2), pp. 214-220. Date of Electronic Publication: 2020 Feb 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101469694 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-7982 (Electronic) Linking ISSN: 18767982 NLM ISO Abbreviation: J Med Imaging Radiat Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1876-7982 |
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| DOI: | 10.1016/j.jmir.2020.01.008 |
