Prostate Biopsy

Prostate biopsy, the procedure for diagnosing prostate cancer, is undergoing significant advancements driven by the need for more accurate and less invasive techniques. Current research focuses on improving biopsy targeting and diagnosis using multi-modal imaging (e.g., transrectal ultrasound and MRI) analyzed with deep learning models like convolutional neural networks (CNNs) and reinforcement learning algorithms to optimize needle placement. These improvements aim to increase the detection rate of clinically significant cancer, reduce unnecessary biopsies, and ultimately improve patient outcomes by providing more precise and efficient diagnostic tools.