步伐
放射治疗
医学物理学
地球仪
透视图(图形)
锥束ct
影像引导放射治疗
计算机科学
锥束ct
放射肿瘤学
质量(理念)
医学影像学
医学
计算机断层摄影术
人工智能
放射科
物理
天文
眼科
量子力学
摘要
Abstract The development of cone‐beam CT guided radiotherapy has transformed radiation oncology in the 20 years since it was first released commercially. The technological pace of change has spurred a massive transformation in our daily clinical practice, forced us to evolve our approach to multi‐ and inter‐disciplinary collaboration, and enabled new treatment paradigms. Further progress in integrating quantitative CT in these robotic platforms promises to do even more by “burying the complexity” of radiotherapy and leveraging the expanding digital fabric that uses machine learning approaches to bring semi‐automated expertise to bear on the issues of expertise and quality. This is the only way we will be able to respond to the massive global shortfall in high‐quality radiotherapy services across the globe.
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