This review provides an overview of the application of artificial intelligence (AI) in radiation
therapy (RT) from a radiation oncologist's perspective. Over the years, advances in …

Anatomical variations occur during head and neck (H&N) radiotherapy (RT) treatment.
These variations may result in underdosage to the target volume or overdosage to the organ …

Automation and artificial intelligence (AI) is already possible for many radiation therapy
planning and treatment processes with the aim of improving workflows and increasing …

Introduction Organ-at-risk segmentation for head and neck cancer radiation therapy is a
complex and time-consuming process (requiring up to 42 individual structure, and may …

Objective. fast and accurate contouring of daily 3D images is a prerequisite for online
adaptive radiotherapy. Current automatic techniques rely either on contour propagation with …

Background and purpose Tools for auto-segmentation in radiotherapy are widely available,
but guidelines for clinical implementation are missing. The goal was to develop a workflow …

The accuracy of artificial intelligence (AI) generated contours for intact‐breast and post‐
mastectomy radiotherapy plans was evaluated. Geometric and dosimetric comparisons were …

Purpose To investigate the performance of 4 atlas-based (multi-ABAS) and 2 deep learning
(DL) solutions for head-and-neck (HN) elective nodes (CTVn) automatic segmentation (AS) …

Abstract The recently proposed Segment Anything Model (SAM) is a general tool for image
segmentation, but it requires additional adaptation and careful fine-tuning for medical image …

Craniospinal irradiation (CSI) is a vital therapeutic approach utilized for young patients
suffering from central nervous system disorders such as medulloblastoma. The task of …