Latest AI and machine learning research in prostate cancer for healthcare professionals.
: Inguinal hernia (IH) is a usual finding in men with prostate cancer (PCa) due to their similar risk factors, such as age, gender, and smoking. This study aims to present a single institution's experience with simultaneous IH repair (IHR) and robotic-assisted radical prostatectomy (RARP). : We retrospectively reviewed 452 patients who underwent RARP between January 2018 and December 2020. A total...
BACKGROUND: To compare the quality of life (QOL) in patients who underwent robot-assisted radical prostatectomy (RARP) or low-dose-rate brachytherapy (LDR-BT) for prostate cancer.
BACKGROUND: Deep learning for diagnosing clinically significant prostate cancer (csPCa) is feasible but needs further evaluation in patients with pros...
. The purpose of this study was to evaluate the accuracy of brachytherapy (BT) planning structures derived from Deep learning (DL) based auto-segmenta...
OBJECTIVE: To compare the tumor control in prostate cancer patients with oligo-metastasis following combined robot-assisted radical prostatectomy and ...
We collected surface-enhanced Raman spectroscopy (SERS) data from the serum of 729 patients with prostate cancer or benign prostatic hyperplasia (BPH)...
OBJECTIVES: Hydrogel spacer (HS) was developed to reduce rectal toxicities caused by radiotherapy, but has been reported to cause major adverse events...
Robotic locomotion in subterranean environments is still unsolved, and it requires innovative designs and strategies to overcome the challenges of bur...
Clinical data on robot-assisted radical prostatectomy (RARP) performed with the new Hugo robot-assisted surgery (RAS) system are scarce. We described ...
A flexible needle has emerged as a crucial clinical technique in contemporary medical practices, particularly for minimally invasive interventions. It...
A positive surgical margin (PSM) is reported to have some connection to the occurrence of biochemical recurrence and tumor metastasis in prostate canc...
In this study, an inter-fraction organ deformation simulation framework for the locally advanced cervical cancer (LACC), which considers the anatomica...
Deep learning advanced to one of the most important technologies in almost all medical fields. Especially in areas, related to medical imaging it play...
OBJECTIVES: Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. ...
Dissemination of robotic surgical technology for robot-assisted laparoscopic prostatectomy (RALP) has yielded advancements including the Retzius-spari...
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate cancer on preoperative MRI, the performance of MRI fo...
In recent years, data-driven, deep-learning-based models have shown great promise in medical risk prediction. By utilizing the large-scale Electronic ...
BACKGROUND: Low-dose rate brachytherapy is the referent treatment for early-stage prostate cancer and consists in manually inserting radioactive seeds...
The robust segmentation of organs from the medical image is the key technique in medical image analysis for disease diagnosis. U-Net is a robust struc...
PURPOSE: Fast and accurate outlining of the organs at risk (OARs) and high-risk clinical tumor volume (HRCTV) is especially important in high-dose-rat...