AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Prostatic Neoplasms

Showing 311 to 320 of 1304 articles

Clear Filters

Improving accelerated 3D imaging in MRI-guided radiotherapy for prostate cancer using a deep learning method.

Radiation oncology (London, England)
PURPOSE: This study was to improve image quality for high-speed MR imaging using a deep learning method for online adaptive radiotherapy in prostate cancer. We then evaluated its benefits on image registration.

Deep learning based automated delineation of the intraprostatic gross tumour volume in PSMA-PET for patients with primary prostate cancer.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE: With the increased use of focal radiation dose escalation for primary prostate cancer (PCa), accurate delineation of gross tumor volume (GTV) in prostate-specific membrane antigen PET (PSMA-PET) becomes crucial. Manual approaches are time-co...

Artificial Intelligence Predictive Model for Hormone Therapy Use in Prostate Cancer.

NEJM evidence
BACKGROUND: Androgen deprivation therapy (ADT) with radiotherapy can benefit patients with localized prostate cancer. However, ADT can negatively impact quality of life, and there remain no validated predictive models to guide its use. METHODS: We us...

Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging.

European journal of radiology
PURPOSE: Routine multiparametric MRI of the prostate reduces overtreatment and increases sensitivity in the diagnosis of the most common solid cancer in men. However, the capacity of MRI systems is limited. Here we investigate the ability of deep lea...

What benefit can be obtained from magnetic resonance imaging diagnosis with artificial intelligence in prostate cancer compared with clinical assessments?

Military Medical Research
The present study aimed to explore the potential of artificial intelligence (AI) methodology based on magnetic resonance (MR) images to aid in the management of prostate cancer (PCa). To this end, we reviewed and summarized the studies comparing the ...

ProGleason-GAN: Conditional progressive growing GAN for prostatic cancer Gleason grade patch synthesis.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Prostate cancer is one of the most common diseases affecting men. The main diagnostic and prognostic reference tool is the Gleason scoring system. An expert pathologist assigns a Gleason grade to a sample of prostate tissue....

Robot-assisted Versus Conventional Laparoscopic Radical Prostatectomy: A Systematic Review and Meta-analysis of Randomised Controlled Trials.

European urology focus
CONTEXT: Robot-assisted radical prostatectomy (RARP) has largely replaced conventional laparoscopic radical prostatectomy (LRP) even though the costs are significantly higher. Justification for this change is the hope for better postoperative functio...

The spread of retzius-sparing robotic prostatectomy: an update after 10 years.

Current opinion in urology
PURPOSE OF REVIEW: Objective of our work is to provide an update of the state of the art concerning Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and to give a possible vision on the future developments of this new approach.

Artificial Intelligence-Based PTEN Loss Assessment as an Early Predictor of Prostate Cancer Metastasis After Surgery: A Multicenter Retrospective Study.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Phosphatase and tensin homolog (PTEN) loss is associated with adverse outcomes in prostate cancer and can be measured via immunohistochemistry. The purpose of the study was to establish the clinical application of an in-house developed artificial int...