AI Medical Compendium Journal:
International journal of radiation oncology, biology, physics

Showing 61 to 70 of 93 articles

Development and Validation of a Bayesian Network Method to Detect External Beam Radiation Therapy Physician Order Errors.

International journal of radiation oncology, biology, physics May 31, 2019
PURPOSE: To investigate a Bayesian network (BN)-based method to detect errors in external beam radiation therapy physician orders.
False Positive Reactions Radiotherapy Dosage Organ Specificity Radiotherapy Planning, Computer-Assisted Datasets as Topic False Negative Reactions Medical Errors Radiotherapy Setup Errors Technology, Radiologic Dose Fractionation, Radiation Radiotherapy, Image-Guided Simulation Training Algorithms Neoplasms Cohort Studies ROC Curve Bayes Theorem Radiologists Humans Neural Networks, Computer
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Automatic Segmentation of the Prostate on CT Images Using Deep Neural Networks (DNN).

International journal of radiation oncology, biology, physics Mar 16, 2019
PURPOSE: Recent advances in deep neural networks (DNNs) have unlocked opportunities for their application for automatic image segmentation. We have evaluated a DNN-based algorithm for automatic segmentation of the prostate gland on a large cohort of ...
Prostate Radiotherapy Planning, Computer-Assisted Neural Networks, Computer Machine Learning Algorithms Retrospective Studies Male Prostatic Neoplasms Humans
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Deep Learning-Based Delineation of Head and Neck Organs at Risk: Geometric and Dosimetric Evaluation.

International journal of radiation oncology, biology, physics Mar 2, 2019
PURPOSE: Organ-at-risk (OAR) delineation is a key step in treatment planning but can be time consuming, resource intensive, subject to variability, and dependent on anatomical knowledge. We studied deep learning (DL) for automated delineation of mult...
Deep Learning Head and Neck Neoplasms Esophagus Humans Organs at Risk Radiotherapy Planning, Computer-Assisted Pharyngeal Muscles Benchmarking Mouth Parotid Gland Esophageal Sphincter, Upper Larynx Submandibular Gland Brain Stem
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Artificial Intelligence in Radiation Oncology Imaging.

International journal of radiation oncology, biology, physics Oct 18, 2018
Diagnostic Imaging Radiation Oncology Humans Artificial Intelligence
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Knowledge-Based Planning for Identifying High-Risk Stereotactic Ablative Radiation Therapy Treatment Plans for Lung Tumors Larger Than 5 cm.

International journal of radiation oncology, biology, physics Aug 14, 2018
PURPOSE: Stereotactic ablative body radiation therapy (SABR) for lung tumors ≥5 cm can be associated with more toxicity than that for smaller tumors. We investigated the relationship between dosimetry and toxicity and used a knowledge-based planning ...
Humans Lung Neoplasms Radiotherapy Dosage Knowledge Bases Radiosurgery Organs at Risk Radiotherapy Planning, Computer-Assisted
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Development of a Ready-to-Use Graphical Tool Based on Artificial Neural Network Classification: Application for the Prediction of Late Fecal Incontinence After Prostate Cancer Radiation Therapy.

International journal of radiation oncology, biology, physics Aug 6, 2018
PURPOSE: This study was designed to apply artificial neural network (ANN) classification methods for the prediction of late fecal incontinence (LFI) after high-dose prostate cancer radiation therapy and to develop a ready-to-use graphical tool.
Fecal Incontinence Neural Networks, Computer Prognosis Male Time Factors Prostatic Neoplasms Radiation Injuries Humans
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The Future of Artificial Intelligence in Radiation Oncology.

International journal of radiation oncology, biology, physics Jun 6, 2018
Forecasting Radiation Oncology Artificial Intelligence
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MR-Only Brain Radiation Therapy: Dosimetric Evaluation of Synthetic CTs Generated by a Dilated Convolutional Neural Network.

International journal of radiation oncology, biology, physics Jun 4, 2018
PURPOSE: This work aims to facilitate a fast magnetic resonance (MR)-only workflow for radiation therapy of intracranial tumors. Here, we evaluate whether synthetic computed tomography (sCT) images generated with a dilated convolutional neural networ...
Brain Neoplasms Magnetic Resonance Imaging Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Humans
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Distinguishing True Progression From Radionecrosis After Stereotactic Radiation Therapy for Brain Metastases With Machine Learning and Radiomics.

International journal of radiation oncology, biology, physics May 24, 2018
PURPOSE: Treatment effect or radiation necrosis after stereotactic radiosurgery (SRS) for brain metastases is a common phenomenon often indistinguishable from true progression. Radiomics is an emerging field that promises to improve on conventional i...
Adult Radiosurgery Humans Machine Learning Brain Neoplasms Radiation Injuries Aged Middle Aged Disease Progression Aged, 80 and over Magnetic Resonance Imaging Diagnosis, Differential
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Salvage HDR Brachytherapy: Multiple Hypothesis Testing Versus Machine Learning Analysis.

International journal of radiation oncology, biology, physics Mar 13, 2018
PURPOSE: Salvage high-dose-rate brachytherapy (sHDRB) is a treatment option for recurrences after prior radiation therapy. However, only approximately 50% of patients benefit, with the majority of second recurrences after salvage brachytherapy occurr...
Linear Models Retrospective Studies Salvage Therapy Treatment Failure Male Brachytherapy Recurrence Prostatic Neoplasms Humans Machine Learning
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