Latest AI and machine learning research in therapeutic radiology for healthcare professionals.
BACKGROUND AND PURPOSE: To describe the clinical commissioning of an in-house artificial intelligenc...
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined wit...
INTRODUCTION: Radiotherapy is a common option in the treatment of many types of cancer. Intensity-Mo...
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk...
A robotic needle implant device for MR-guided high-dose-rate (HDR) prostate brachytherapy was develo...
INTRODUCTION: New radiotherapy machines such as Halcyon are capable of delivering dose-rate of 600 m...
Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dos...
PURPOSE: This study aimed to design an autodelineation model based on convolutional neural networks ...
Intensity-modulated radiation therapy (IMRT) has been widely used in treating head and neck tumors. ...
BACKGROUND: The purpose of this study was to improve the deep learning (DL) model performance in pre...
Geometric distortions in brain MRI images arising from susceptibility artifacts at air-tissue interf...
Gamma Knife radiosurgery (GKRS) is a well-established technique in radiation therapy (RT) for treati...
BACKGROUND: To establish and validate a machine learning model using pretreatment multiparametric ma...
BACKGROUND: 3D neural network dose predictions are useful for automating brachytherapy (BT) treatmen...
PURPOSE: Deep learning can automate delineation in radiation therapy, reducing time and variability....
We developed artificial intelligence models to predict the brain metastasis (BM) treatment response ...
BACKGROUND: Quality assurance (QA) of patient-specific treatment plans for intensity-modulated radia...
OBJECTIVE: Radiation necrosis (RN) can be difficult to radiographically discern from tumor progressi...
BACKGROUND: Stereotactic radiosurgery (SRS) effectively treats brain metastases. It can provide loca...
Monte Carlo (MC) simulations are the benchmark for accurate radiotherapy dose calculations, notably ...
PURPOSE: To create and evaluate a three-dimensional (3D) Prompt-nnUnet module that utilizes the prom...