AIMC Topic: Radiotherapy

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Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century.

The British journal of radiology Feb 1, 2020
Advances in computing hardware and software platforms have led to the recent resurgence in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for automating complex tasks or providing superior predictive an...
Humans Artificial Intelligence Algorithms Radiology Image Interpretation, Computer-Assisted Radiotherapy Forecasting Decision Support Techniques Neoplasms
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Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.

Journal of the American College of Radiology : JACR Sep 1, 2019
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented the transition from generalized to personalized treatment delivery. Although their impact on quality and safety of radiation therapy has been limited, ...
Quality Improvement Radiotherapy Dosage Radiotherapy Humans Artificial Intelligence Algorithms Machine Learning Forecasting Safety Management Radiation Oncology Quality Control Radiotherapy Planning, Computer-Assisted
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Radiomics with artificial intelligence for precision medicine in radiation therapy.

Journal of radiation research Jan 1, 2019
Recently, the concept of radiomics has emerged from radiation oncology. It is a novel approach for solving the issues of precision medicine and how it can be performed, based on multimodality medical images that are non-invasive, fast and low in cost...
Artificial Intelligence Precision Medicine Biomarkers, Tumor Humans Models, Theoretical Biopsy Radiotherapy
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Predicting Emergency Visits and Hospital Admissions During Radiation and Chemoradiation: An Internally Validated Pretreatment Machine Learning Algorithm.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: Patients undergoing radiotherapy (RT) or chemoradiotherapy (CRT) may require emergency department evaluation or hospitalization. Early identification may direct preventative supportive care, improving outcomes and reducing health care costs....
Aged Chemoradiotherapy Electronic Health Records Neoplasms Program Evaluation Male Humans Middle Aged Area Under Curve Machine Learning Female Radiotherapy Emergency Service, Hospital Prospective Studies Hospitalization
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Comparison of Re-irradiation Outcomes for Charged Particle Radiotherapy and Robotic Stereotactic Radiotherapy Using CyberKnife for Recurrent Head and Neck Cancers: A Multi-institutional Matched-cohort Analysis.

Anticancer research Oct 1, 2016
AIM: To compare survival outcomes for charged particle radiotherapy (CP) and stereotactic body radiotherapy using CyberKnife (CK) in patients who had undergone re-irradiation for head and neck cancers.
Adolescent Cohort Studies Head and Neck Neoplasms Adult Male Middle Aged Robotics Radiotherapy Humans Female Aged Aged, 80 and over Young Adult
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Statistical-learning strategies generate only modestly performing predictive models for urinary symptoms following external beam radiotherapy of the prostate: A comparison of conventional and machine-learning methods.

Medical physics May 1, 2016
PURPOSE: Given the paucity of available data concerning radiotherapy-induced urinary toxicity, it is important to ensure derivation of the most robust models with superior predictive performance. This work explores multiple statistical-learning strat...
Radiotherapy Models, Biological Multivariate Analysis Urination Disorders Area Under Curve Prostatic Neoplasms Prostate Humans Middle Aged Comorbidity Severity of Illness Index ROC Curve Logistic Models Follow-Up Studies Aged Neural Networks, Computer Aged, 80 and over Machine Learning Male Prognosis
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[Applications of Machine Learning for Radiation Therapy].

Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics Jan 1, 2016
Radiation therapy has been highly advanced as image guided radiation therapy (IGRT) by making advantage of image engineering technologies. Recently, novel frameworks based on image engineering technologies as well as machine learning technologies hav...
Machine Learning Radiotherapy Radiation Injuries Technology, Radiologic Esophageal Diseases Humans
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A method for volumetric imaging in radiotherapy using single x-ray projection.

Medical physics May 1, 2015
PURPOSE: It is an intriguing problem to generate an instantaneous volumetric image based on the corresponding x-ray projection. The purpose of this study is to develop a new method to achieve this goal via a sparse learning approach.
Humans Machine Learning Lung Diaphragm Radiotherapy Four-Dimensional Computed Tomography Time Factors Models, Biological Phantoms, Imaging Lung Neoplasms Motion X-Rays Principal Component Analysis Respiration
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