Radiology

Therapeutic Radiology

Latest AI and machine learning research in therapeutic radiology for healthcare professionals.

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Showing 232-252 of 5,466 articles
CyberKnife with integrated CT-on-rails: System description and first clinical application for pancreas SBRT.

PURPOSE: This article reports on the integration of a sliding-gantry CT-on-rails with a robotic line...

Vector-model-supported approach in prostate plan optimization.

Lengthy time consumed in traditional manual plan optimization can limit the use of step-and-shoot in...

Commissioning Monte Carlo algorithm for robotic radiosurgery using cylindrical 3D-array with variable density inserts.

INTRODUCTION: To commission the Monte Carlo (MC) algorithm based model of CyberKnife robotic stereot...

Rectal Toxicity After Extremely Hypofractionated Radiotherapy Using a Non-Isocentric Robotic Radiosurgery System for Early Stage Prostate Cancer.

BACKGROUND: The aim of the study was to evaluate toxicity after extremely hypofractionated radiother...

Evaluation of a Machine-Learning Algorithm for Treatment Planning in Prostate Low-Dose-Rate Brachytherapy.

PURPOSE: This work presents the application of a machine learning (ML) algorithm to automatically ge...

Growth of Uveal Melanoma following Intravitreal Bevacizumab.

PURPOSE: Typically treatment of large melanomas (by Collaborative Ocular Melanoma Study criteria) is...

An ultrasound image navigation robotic prostate brachytherapy system based on US to MRI deformable image registration method.

OBJECTIVE: This paper describes an ultrasound image navigation robotic prostate brachytherapy system...

Robotic ultrasound-guided SBRT of the prostate: feasibility with respect to plan quality.

PURPOSE: Advances in radiation therapy delivery systems have enabled motion compensated SBRT of the ...

Feasibility and safety of cavity-directed stereotactic radiosurgery for brain metastases at a high-volume medical center.

OBJECTIVE: Our objective was to report safety and efficacy of stereotactic radiosurgery (SRS) to the...

High resolution ion chamber array delivery quality assurance for robotic radiosurgery: Commissioning and validation.

PURPOSE: High precision radiosurgery demands comprehensive delivery-quality-assurance techniques. Th...

Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study.

Delineation of organs at risk (OARs) is a crucial step in surgical and treatment planning in brain c...

Inverse treatment planning for spinal robotic radiosurgery: an international multi-institutional benchmark trial.

Stereotactic radiosurgery (SRS) is the accurate, conformal delivery of high-dose radiation to well-d...

Reirradiation using robotic image-guided stereotactic radiotherapy of recurrent head and neck cancer.

The purpose of this study was to examine the prognosis for patients with head and neck cancer after ...

Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations.

Predictions of patient outcomes after a given therapy are fundamental to medical practice. We employ...

Bladder dose-volume parameters are associated with urinary incontinence after postoperative intensity modulated radiation therapy for prostate cancer.

PURPOSE: Urinary incontinence is a potential side effect of prostatectomy and intensity modulated ra...

Use of artificial neural networks to predict the probability of developing new cerebral metastases after radiosurgery alone.

BACKGROUND: The present study aimed to predict the probability of developing new cerebral metastases...

Outcomes Associated With 3 Treatment Schedules of High-Dose-Rate Brachytherapy Monotherapy for Favorable-Risk Prostate Cancer.

PURPOSE: We report the outcomes associated with 3 high-dose-rate (HDR) brachytherapy regimens used a...

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