Latest AI and machine learning research in prostate cancer for healthcare professionals.
BACKGROUND: Poor needle placement in prostate high-dose-rate brachytherapy (HDR-BT) results in sub-o...
BACKGROUND: Recently, high-dose-rate (HDR) brachytherapy treatment plans generation was improved wit...
BACKGROUND: Psoriatic arthritis (PSA) is an inflammatory joint disease associated with psoriasis (PS...
BACKGROUND: Treatment with sole ultra-low dose rate brachytherapy (uLDR-BT) for unfavorable intermed...
Prostate-specific antigen (PSA) is the most commonly used marker of prostate cancer. However, nearly...
BACKGROUND: Prostate cancer is the second leading cause of death among American men. If detected and...
BACKGROUND: Formulating a clinically acceptable plan within the time-constrained clinical setting of...
Prostate cancer (PCa) is a clinically heterogeneous disease. Predicting clinically significant PCa w...
OBJECTIVE: To create a machine-learning predictive model combining prostate imaging-reporting and da...
OBJECTIVE: Psoriatic arthritis (PsA) and rheumatoid arthritis (RA) are the most common types of infl...
RATIONALE AND OBJECTIVES: To establish a multimodal deep learning nomogram for predicting clinically...
To develop and evaluate a 3D Prompt-ResUNet module that utilized the prompt-based model combined wit...
A robotic needle implant device for MR-guided high-dose-rate (HDR) prostate brachytherapy was develo...
Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dos...
This work proposes, for the first time, an image-based end-to-end self-normalization framework for p...
PURPOSE: This study aimed to design an autodelineation model based on convolutional neural networks ...
: This study aims to assess whole-mount Gleason grading (GG) in prostate cancer (PCa) accurately usi...
Designing heat-resistant thermosets with excellent comprehensive performance has been a long-standin...
PURPOSE: To develop a deep learning (DL) zonal segmentation model of prostate MR from T2-weighted im...
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....