Revolutionizing radiation therapy: the role of AI in clinical practice
M Kawamura, T Kamomae, M Yanagawa… - Journal of radiation …, 2024 - academic.oup.com
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 …
therapy (RT) from a radiation oncologist's perspective. Over the years, advances in …
[HTML][HTML] Deep learning-based target tracking with X-ray images for radiotherapy: a narrative review
Methods Manual searches of the Web of Science, and PubMed, and Google Scholar were
carried out to retrieve English-language articles. The keywords used in the searches …
carried out to retrieve English-language articles. The keywords used in the searches …
Artificial intelligence‐based motion tracking in cancer radiotherapy: A review
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …
organs at risk (OARs). Increasingly complex treatment techniques such as volumetric …
Exploring the impact of field shape on predicted dose distribution in breast cancer patients using deep learning in radiation therapy
Background Geometrical information such as field shape is essential for dose calculation in
radiation therapy. However, new methods of dose prediction based on deep learning only …
radiation therapy. However, new methods of dose prediction based on deep learning only …
Deep learning‐based target decomposition for markerless lung tumor tracking in radiotherapy
Background In radiotherapy, real‐time tumor tracking can verify tumor position during beam
delivery, guide the radiation beam to target the tumor, and reduce the chance of a geometric …
delivery, guide the radiation beam to target the tumor, and reduce the chance of a geometric …
Data-Driven Volumetric Computed Tomography Image Generation From Surface Structures Using a Patient-Specific Deep Leaning Model
Purpose Optical surface imaging presents radiation-dose-free and noninvasive approaches
for image guided radiation therapy, allowing continuous monitoring during treatment …
for image guided radiation therapy, allowing continuous monitoring during treatment …
Machine Learning-Based Classification of Lung Cancer Types from Radiological Images
This study develops an algorithm for classification that utilizes machine learning that uses
medical images to address the urgent demand for accurate and quick lung cancer …
medical images to address the urgent demand for accurate and quick lung cancer …