AIMC Topic: Radiation Oncology
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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 ...
Artificial intelligence in oral oncology: Overcoming the challenges in diagnosis!
Oral oncology
Oct 8, 2022
Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.
Medical physics
Sep 23, 2022
BACKGROUND: Routinely delineating of important skeletal growth centers is imperative to mitigate radiation-induced growth abnormalities for pediatric cancer patients treated with radiotherapy. However, it is hindered by several practical problems, in...
Artificial intelligence in radiotherapy.
Seminars in cancer biology
Aug 20, 2022
Radiotherapy is a discipline closely integrated with computer science. Artificial intelligence (AI) has developed rapidly over the past few years. With the explosive growth of medical big data, AI promises to revolutionize the field of radiotherapy t...
Clinical Validation of a Deep-Learning Segmentation Software in Head and Neck: An Early Analysis in a Developing Radiation Oncology Center.
International journal of environmental research and public health
Jul 25, 2022
BACKGROUND: Organs at risk (OARs) delineation is a crucial step of radiotherapy (RT) treatment planning workflow. Time-consuming and inter-observer variability are main issues in manual OAR delineation, mainly in the head and neck (H & N) district. D...
A Process Framework for Ethically Deploying Artificial Intelligence in Oncology.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Jul 18, 2022
Digital skills of therapeutic radiographers/radiation therapists - Document analysis for a European educational curriculum.
Radiography (London, England : 1995)
Jul 14, 2022
INTRODUCTION: It is estimated that around 50% of cancer patients require Radiotherapy (RT) at some point during their treatment, hence Therapeutic Radiographers/Radiation Therapists (TR/RTTs) have a key role to play in patient management. It is essen...
Training, validation, and clinical implementation of a deep-learning segmentation model for radiotherapy of loco-regional breast cancer.
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
May 23, 2022
AIM: To train and validate a comprehensive deep-learning (DL) segmentation model for loco-regional breast cancer with the aim of clinical implementation.
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