癌症在2020年导致近1000万人死亡，是全球死亡的主要原因。放射治疗是治愈癌症的有效方法。成功的放射治疗的终极目标是在限制辐射束途径中的健康组织和周围正常组织的辐射的同时，准确地向癌细胞目标区提供安全和治疗剂量的辐射。随着辐射治疗技术的不断发展，更好的成像技术对于安全高剂量的传递至关重要。人工智能在图像引导放射治疗技术上的发展，这些技术包括千伏和兆伏模式、二维和三维技术，在此深入探讨。版权所有 © 2022 Elsevier Inc.。

Cancer accounts for nearly 10 million deaths in 2020 and is a leading cause of death worldwide. Radiation therapy is an effective modality to cure cancer. The ultimate goal of successful radiation therapy is to accurately deliver a safe and therapeutic dose of radiation to cancerous target cells while limiting radiation to the healthy tissue in the beam pathway and the surrounding normal tissue. With advancing radiation treatment technology, better imaging techniques are imperative for safe, high-dose delivery. Artificial intelligence developments on image-guided radiation therapy technologies, which range from Kilovoltage and Megavoltage modalities to two-dimensional and three-dimensional techniques, are discussed in depth.Copyright © 2022 Elsevier Inc. All rights reserved.