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KMID : 1144720210250040266
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Investigative Magnetic Resonance Imaging
2021 Volume.25 No. 4 p.266 ~ p.280
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Radiomics and Deep Learning in Brain Metastases: Current Trends and Roadmap to Future Applications
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Park Yae-Won
Lee Na-Rae
Ahn Sung-Soo
Chang Jong-Hee
Lee Seung-Koo
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Abstract
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Advances in radiomics and deep learning (DL) hold great potential to be at the forefront of precision medicine for the treatment of patients with brain metastases. Radiomics and DL can aid clinical decision-making by enabling accurate diagnosis, facilitating the identification of molecular markers, providing accurate prognoses, and monitoring treatment response. In this review, we summarize the clinical background, unmet needs, and current state of research of radiomics and DL for the treatment of brain metastases. The promises, pitfalls, and future roadmap of radiomics and DL in brain metastases are addressed as well.
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KEYWORD
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Artificial intelligence, Brain metastases, Deep learning, Machine learning, Radiomics
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