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Radiation Oncology

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Machine learning-based radiotherapy time prediction and treatment scheduling management.

Journal of applied clinical medical physics
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)
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...

Improving accelerated 3D imaging in MRI-guided radiotherapy for prostate cancer using a deep learning method.

Radiation oncology (London, England)
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.

Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer.

Medical physics
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))
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
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 ...

Deep learning for automated segmentation in radiotherapy: a narrative review.

The British journal of radiology
The segmentation of organs and structures is a critical component of radiation therapy planning, with manual segmentation being a laborious and time-consuming task. Interobserver variability can also impact the outcomes of radiation therapy. Deep neu...