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Radiomics and radiogenomics in lung cancer clinical practice Shoji Kido 1 1Department of Artificial Intelligence Diagnostic Radiology Osaka University Graduate School of Medicine Keyword: radiomics , radiogenomics , 機械学習 pp.861-865
Published Date 2023/9/10
DOI https://doi.org/10.18888/rp.0000002445
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The incidence of lung cancer is increasing worldwide, and there is an urgent need to develop methods for its detection and treatment planning. Diagnostic technologies such as radiomics and radiogenomics, which use a combination of clinical data, imaging information and genomic details, have been instrumental in lung cancer care. Their implementation has proven fruitful in various areas, including early detection, prognostication, and personalized treatment, resulting in efficient lung cancer care. To improve these technologies, further data integration, algorithm improvements, and advances in AI technology are needed. Physicians and researchers are expected to collaborate to develop innovative knowledge and technologies by sharing and reusing data sets. The comprehensive use of radiomics and radiogenomics should improve patient outcomes and maximize treatment efficacy, and they are expected to be of significant benefit in realizing personalized medicine for lung cancer therapy.


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電子版ISSN 印刷版ISSN 0009-9252 金原出版

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