AIMC Topic: Radiation Oncology

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Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK.

The British journal of radiology Oct 3, 2023
Technological advancements in computer science have started to bring artificial intelligence (AI) from the bench closer to the bedside. While there is still lots to do and improve, AI models in medical imaging and radiotherapy are rapidly being devel...
Humans Artificial Intelligence Radiation Oncology United Kingdom Diagnostic Imaging Radiography
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Considerations for environmental sustainability in clinical radiology and radiotherapy practice: A systematic literature review and recommendations for a greener practice.

Radiography (London, England : 1995) Sep 25, 2023
INTRODUCTION: Environmental sustainability (ES) in healthcare is an important current challenge in the wider context of reducing the environmental impacts of human activity. Identifying key routes to making clinical radiology and radiotherapy (CRR) p...
Humans Delivery of Health Care Artificial Intelligence Radiation Oncology
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Validation of deep learning-based CT image reconstruction for treatment planning.

Scientific reports Sep 18, 2023
Deep learning-based CT image reconstruction (DLR) is a state-of-the-art method for obtaining CT images. This study aimed to evaluate the usefulness of DLR in radiotherapy. Data were acquired using a large-bore CT system and an electron density phanto...
Phantoms, Imaging Deep Learning Tomography, X-Ray Computed Radiation Oncology Image Processing, Computer-Assisted
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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...
Child Radiation Oncology Learning Health System Humans Biological Ontologies Knowledge Bases
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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...
Language Artificial Intelligence Radiation Oncologists Radiation Oncology Humans
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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 ...
Hospitals Radiation Oncology China Artificial Intelligence Machine Learning Humans
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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...
Artificial Intelligence Machine Learning Humans Curriculum Radiation Oncology Africa
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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
Radiotherapy Planning, Computer-Assisted Radiation Oncology Humans Deep Learning Neoplasms
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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.
Prostatic Neoplasms Radiation Oncology Humans Imaging, Three-Dimensional Deep Learning Magnetic Resonance Imaging Male
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ChatGPT: Can a Natural Language Processing Tool Be Trusted for Radiation Oncology Use?

International journal of radiation oncology, biology, physics Apr 8, 2023
Natural Language Processing Radiation Oncology Humans
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