AIMC Topic: Radiation Oncology
Clear Filters Showing 31 to 40 of 116 articles
Infrastructure tools to support an effective Radiation Oncology Learning Health System.
Journal of applied clinical medical physics
Aug 25, 2023
PURPOSE: Radiation Oncology Learning Health System (RO-LHS) is a promising approach to improve the quality of care by integrating clinical, dosimetry, treatment delivery, research data in real-time. This paper describes a novel set of tools to suppor...
Unlocking the Power of ChatGPT, Artificial Intelligence, and Large Language Models: Practical Suggestions for Radiation Oncologists.
Practical radiation oncology
Aug 19, 2023
Recent advances in artificial intelligence (AI), such as generative AI and large language models (LLMs), have generated significant excitement about the potential of AI to revolutionize our lives, work, and interaction with technology. This article e...
Machine learning-based radiotherapy time prediction and treatment scheduling management.
Journal of applied clinical medical physics
Aug 17, 2023
PURPOSE: The utility efficiency of medical devices is important, especially for countries such as China, which have a large population and shortage of medical care resources. Radiotherapy devices are among the most valuable and specialized equipment ...
Africa's readiness for artificial intelligence in clinical radiotherapy delivery: Medical physicists to lead the way.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Aug 14, 2023
BACKGROUND: There have been several proposals by researchers for the introduction of Artificial Intelligence (AI) technology due to its promising role in radiotherapy practice. However, prior to the introduction of the technology, there are certain g...
Exploiting Deep Learning to Enhance Tumour-conformed Delineation and Reduced Isotropic Margin in Radiotherapy: Updated ESTRO-EANO Guidelines.
Clinical oncology (Royal College of Radiologists (Great Britain))
Jul 22, 2023
Improving accelerated 3D imaging in MRI-guided radiotherapy for prostate cancer using a deep learning method.
Radiation oncology (London, England)
Jul 1, 2023
PURPOSE: This study was to improve image quality for high-speed MR imaging using a deep learning method for online adaptive radiotherapy in prostate cancer. We then evaluated its benefits on image registration.
ChatGPT: Can a Natural Language Processing Tool Be Trusted for Radiation Oncology Use?
International journal of radiation oncology, biology, physics
Apr 8, 2023
Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer.
Medical physics
Mar 13, 2023
BACKGROUND: Dose escalation radiotherapy enables increased control of prostate cancer (PCa) but requires segmentation of dominant index lesions (DIL). This motivates the development of automated methods for fast, accurate, and consistent segmentation...
Artificial Intelligence for Radiotherapy Auto-Contouring: Current Use, Perceptions of and Barriers to Implementation.
Clinical oncology (Royal College of Radiologists (Great Britain))
Jan 23, 2023
AIMS: Artificial intelligence has the potential to transform the radiotherapy workflow, resulting in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several commercially available artificial intelligence-based auto-contour...
Radiation therapist perceptions on how artificial intelligence may affect their role and practice.
Journal of medical radiation sciences
Dec 7, 2022
INTRODUCTION: The use of artificial intelligence (AI) has increased in medical radiation science, with advanced computing and modelling. Considering radiation therapists (RTs) perceptions of how this may affect their role is imperative, as this will ...
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