The integration of adaptive radiation therapy (ART), or modifying the treatment plan during
the treatment course, is becoming more widely available in clinical practice. ART offers …

Radiation therapy treatments are typically planned based on a single image set, assuming
that the patient's anatomy and its position relative to the delivery system remains constant …

Background and purpose Studies have demonstrated the potential of online adaptive
radiotherapy (oART). However, routine use has been limited due to resource demanding …

Purpose Radiation therapy dose escalation using stereotactic body radiation therapy may
significantly improve both local control (LC) and overall survival (OS) for patients with …

Purpose Implementing new online adaptive radiation therapy technologies is challenging
because extra clinical resources are required particularly expert contour review. Here, we …

MRI-guided radiotherapy is a novel and rapidly evolving technology that might enhance the
risk–benefit ratio. Through direct visualisation of the tumour and the nearby healthy tissues …

The use of deep learning (DL) to improve cone‐beam CT (CBCT) image quality has gained
popularity as computational resources and algorithmic sophistication have advanced in …

It is recognized that the use of a single plan calculated on an image acquired some time
before the treatment is generally insufficient to accurately represent the daily dose to the …

Adaptive radiotherapy (ART) was introduced in the late 1990s to improve the accuracy and
efficiency of therapy and minimize radiation-induced toxicities. ART combines multiple tools …

The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …