Towards human-centric intelligent treatment planning for radiation therapy

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Cancer is the second leading cause of death globally, with 18.74 million new cases and 9.7 million deaths reported in 2022.
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Radiation therapy benefits over two-thirds of cancer patients, utilizing modern techniques for precise tumor targeting while sparing healthy tissues.
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Current treatment planning relies heavily on human input, leading to suboptimal plan quality, inefficiency, and increased healthcare costs.
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Suboptimal radiation plans can significantly worsen treatment outcomes, with studies showing increased risks of complications and lower survival rates.
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Artificial Intelligence has the potential to enhance treatment planning in radiation therapy, improving efficiency and plan quality.

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