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http://hdl.handle.net/10397/106217
| Title: | An overview of artificial intelligence in medical physics and radiation oncology | Authors: | Liu, JL Xiao, HA Fan, JW Hu, WG Yang, Y Dong, P Xing, L Cai, J |
Issue Date: | Sep-2023 | Source: | Journal of the national cancer center, Sept 2023, v. 3, no. 3, p. 211-221 | Abstract: | Artificial intelligence (AI) is developing rapidly and has found widespread applications in medicine, especially radiotherapy. This paper provides a brief overview of AI applications in radiotherapy, and highlights the research directions of AI that can potentially make significant impacts and relevant ongoing research works in these directions. Challenging issues related to the clinical applications of AI, such as robustness and interpretability of AI models, are also discussed. The future research directions of AI in the field of medical physics and radiotherapy are highlighted. | Keywords: | Artificial intelligence Radiotherapy Medical physics |
Publisher: | Elsevier BV | Journal: | Journal of the national cancer center | EISSN: | 2667-0054 | DOI: | 10.1016/j.jncc.2023.08.002 | Rights: | © 2023 Chinese National Cancer Center. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)) The following publication Liu, J., Xiao, H., Fan, J., Hu, W., Yang, Y., Dong, P., Xing, L., & Cai, J. (2023). An overview of artificial intelligence in medical physics and radiation oncology. Journal of the National Cancer Center, 3(3), 211-221 is available at https://dx.doi.org/10.1016/j.jncc.2023.08.002. |
| Appears in Collections: | Journal/Magazine Article |
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| 1-s2.0-S2667005423000479-main.pdf | 2.9 MB | Adobe PDF | View/Open |
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