Radiology

Therapeutic Radiology

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

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Deep learning for segmentation of the cervical cancer gross tumor volume on magnetic resonance imaging for brachytherapy.

BACKGROUND: Segmentation of the Gross Tumor Volume (GTV) is a crucial step in the brachytherapy (BT)...

Artificial intelligence applications in brachytherapy: A literature review.

PURPOSE: Artificial intelligence (AI) has the potential to simplify and optimize various steps of th...

Fastcalculation in LDR brachytherapy using deep learning methods.

The Monte Carlo (MC) method provides a complete solution to the tissue heterogeneity effects in low-...

Quality of life in patients who underwent robot-assisted radical prostatectomy compared with those who underwent low-dose-rate brachytherapy.

BACKGROUND: To compare the quality of life (QOL) in patients who underwent robot-assisted radical pr...

TrDosePred: A deep learning dose prediction algorithm based on transformers for head and neck cancer radiotherapy.

BACKGROUND: Intensity-Modulated Radiation Therapy (IMRT) has been the standard of care for many type...

Predicting survival after radiosurgery in patients with lung cancer brain metastases using deep learning of radiomics and EGFR status.

The early prediction of overall survival (OS) in patients with lung cancer brain metastases (BMs) af...

Evaluation of auto-segmentation for brachytherapy of postoperative cervical cancer using deep learning-based workflow.

. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures d...

A preliminary study on rectal dose reduction associated with hyaluronic acid implantation in brachytherapy for prostate cancer.

OBJECTIVES: Hydrogel spacer (HS) was developed to reduce rectal toxicities caused by radiotherapy, b...

A novel mathematical model to generate semi-automated optimal IMRT treatment plan based on predicted 3D dose distribution and prescribed dose.

BACKGROUND: In recent years, with the development of artificial intelligence and deep learning techn...

3D dose prediction for Gamma Knife radiosurgery using deep learning and data modification.

PURPOSE: To develop a machine learning-based, 3D dose prediction methodology for Gamma Knife (GK) ra...

Application of artificial intelligence to stereotactic radiosurgery for intracranial lesions: detection, segmentation, and outcome prediction.

BACKGROUND: Rapid evolution of artificial intelligence (AI) prompted its wide application in healthc...

A review on tissue-needle interaction and path planning models for bevel tip type flexible needle minimal intervention.

A flexible needle has emerged as a crucial clinical technique in contemporary medical practices, par...

Deep learning architecture with transformer and semantic field alignment for voxel-level dose prediction on brain tumors.

PURPOSE: The use of convolution neural networks (CNN) to accurately predict dose distributions can a...

Respiratory motion prediction based on deep artificial neural networks in CyberKnife system: A comparative study.

BACKGROUND: In external beam radiotherapy, a prediction model is required to compensate for the temp...

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer.

In this study, an inter-fraction organ deformation simulation framework for the locally advanced cer...

Robust deep learning-based forward dose calculations for VMAT on the 1.5T MR-linac.

In this work we present a framework for robust deep learning-based VMAT forward dose calculations fo...

The use of deep learning in interventional radiotherapy (brachytherapy): A review with a focus on open source and open data.

Deep learning advanced to one of the most important technologies in almost all medical fields. Espec...

Input feature design and its impact on the performance of deep learning models for predicting fluence maps in intensity-modulated radiation therapy.

. Deep learning (DL) models for fluence map prediction (FMP) have great potential to reduce treatmen...

Optimisation and validation of a co-manipulated robot for brachytherapy procedure.

BACKGROUND: Low-dose rate brachytherapy is the referent treatment for early-stage prostate cancer an...

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