Latest AI and machine learning research in prostate cancer for healthcare professionals.
Despite being one of the most prevalent cancers, prostate cancer (PCa) shows a significantly high su...
PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and tre...
BACKGROUND: The use of deep learning-based auto-contouring algorithms in various treatment planning ...
PURPOSE: The generalization ability of deep learning-based automatic segmentation techniques for lun...
In the field of treatment and prevention of immune-related bone diseases, significant challenges per...
This study developed and evaluated an automatic segmentation model based on the Mamba framework (AM-...
BACKGROUND: Machine learning (ML) is a significant area of artificial intelligence, which can improv...
Automatic clinical tumor volume (CTV) delineation is pivotal to improving outcomes for interstitial ...
Predicting blood-brain barrier (BBB) penetration is crucial for developing central nervous system (C...
OBJECTIVES: Develop an interpretable machine learning model to detect patients with newly diagnosed ...
The objective of this study was to employ machine learning to identify shared differentially express...
AIM: This review aims to evaluate the role of interventional radiotherapy (IRT - brachytherapy) in t...
In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and ma...
BACKGROUND: Proton pencil beam scanning (PBS) treatment planning for head and neck (H&N) cancers is ...
PURPOSE: This study evaluates the feasibility of using robotic-assisted bronchoscopy with cone beam ...
BACKGROUND: In this study, we attempted to select the optimum cases for a prostate biopsy based on r...
PURPOSE: High dose rate (HDR) prostate brachytherapy (BT) procedure requires image-guided needle ins...
To create a diagnostic tool before biopsy for patients with prostate-specific antigen (PSA) levels <...
Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli. Innovative m...
RATIONALE AND OBJECTIVES: To develop an automatic deep-radiomics framework that diagnoses and strati...
PURPOSE: This study aims to accurately predict the effects of hormonal therapy on prostate cancer (P...