Latest AI and machine learning research in therapeutic radiology for healthcare professionals.
Predicting the probability of having the plan approved by the physician is important for automatic t...
PURPOSE: To develop a novel deep ensemble learning model for accurate prediction of brain metastasis...
In brachytherapy, deep learning (DL) algorithms have shown the capability of predicting 3D dose volu...
BACKGROUND: Interstitial brachytherapy is a form of intensive local irradiation that facilitates the...
PURPOSE: Brachytherapy is a critical component of the standard-of-care curative radiotherapy regimen...
PURPOSE: To Demonstrate the clinical validation of a machine learning (ML) model for applicator and ...
AIMS: Interstitial high-dose-rate brachytherapy (HDR-BT) is an effective therapy modality for patien...
PURPOSE: Close MRI surveillance of patients with brain metastases following Stereotactic Radiosurger...
. Small-field dosimetry is an ongoing challenge in radiotherapy quality assurance (QA) especially fo...
PURPOSE: The use of a hydrogel spacer inserted into recto-vaginal fossa is a valuable strategy to mi...
BACKGROUND AND PURPOSE: The current standard imaging-technique for creating postplans in seed prosta...
. Precise monitoring of the position and dwell time of iridium-192 (Ir-192) during high-dose-rate (H...
Although many patients who receive definitive radiotherapy (RT) for localised prostate cancer (CaP) ...
The aim of this study is to create a single institution-based machine learning model for a dose pred...
BACKGROUND: Ideally, inverse planning for HDR brachytherapy (BT) should include the pose of the need...
BACKGROUND: Accurate segmentation of the clinical target volume (CTV) corresponding to the prostate ...
: Kidney ultrasound (US) imaging is a significant imaging modality for evaluating kidney health and ...
OBJECTIVES: The CyberKnife system is a robotic radiosurgery platform that allows the delivery of lun...
. Creating a clinically acceptable plan in the time-sensitive clinic workflow of brachytherapy is ch...
BACKGROUND: Deep learning-based segmentation algorithms usually required large or multi-institute da...
. UNet-based deep-learning (DL) architectures are promising dose engines for traditional linear acce...