Dr. Jamin Brahmbhatt is a urologist and robotic surgeon with Orlando Health and an assistant professor at the University of Central Florida’s College of Medicine. If you watched the Super Bowl, you ...

This is the first experiment of Image Segmentation for Prostate based on our TensorFlowFlexUNet (TensorFlow Flexible UNet Image Segmentation Model for Multiclass), and ...

Abstract: Accurate segmentation of the prostate gland in magnetic resonance imaging (MRI) is essential for computer-assisted diagnosis, treatment planning, and radiotherapy in prostate cancer ...

ULTRA-HIGH-FIELD 5 Tesla (T) MRI delivers superior image quality and improved diagnostic performance compared with standard 3 T MRI for prostate cancer (PCa), according to a prospective ...

NOVEL research suggests simple blood-based markers could refine MRI use in prostate cancer detection. Magnetic resonance imaging (MRI) has become central to prostate cancer (PCa) diagnostics, ...

We developed a data pipeline using a secure, enterprise-wide deployment of OpenAI's GPT-4.0 to automatically extract data elements from prostate MRI report text when presented with prostate MRI ...

A nationwide survey of prostate MRI practices in the UK revealed the universal adoption of pre-biopsy MRI across all NHS trusts, with 73.1% using multiparametric MRI protocols. However, significant ...

Abstract: Radiotherapy for prostate cancer requires precise definition of clinical target volumes (CTVs) to ensure effective tumor control while minimizing toxicity to surrounding organs. While ...

A combined PSMA-PET/MRI scanner better detected clinically significant prostate cancer in men on active surveillance. The addition of piflufolastat F18 (18 F-DCFPyL) prostate-specific membrane antigen ...

MRI outperformed micro-ultrasound in sensitivity and negative predictive value for prostate cancer detection. Micro-ultrasound offers a short learning curve and real-time lesion identification, ...