AIMC Topic: Prostatic Neoplasms

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Low Risk of Venous Thromboembolism After Robot-assisted Radical Prostatectomy Through Systemic Image Assessment: A Prospective Study.

In vivo (Athens, Greece)
BACKGROUND/AIM: The aim of the study was to evaluate the risk of venous thromboembolism (VTE) after robot-assisted radical prostatectomy (RARP) and discuss whether a uniform prophylaxis for VTE after radical prostatectomy is also suitable for robotic...

Oncological and functional results after robot-assisted radical prostatectomy in high-risk prostate cancer patients.

Cirugia y cirujanos
BACKGROUND: Pentafecta is currently the standard in the comprehensive evaluation of patients undergoing radical prostatectomy, the objective of this study is the evaluation of oncological and functional outcomes in patients with prostate cancer of hi...

A Case of Well Leg Compartment Syndrome After Robot-assisted Laparoscopic Prostatectomy:With Review.

The journal of medical investigation : JMI
Robot-assisted laparoscopic prostatectomy (RALP) for prostate cancer was introduced in 2000 and rapidly gained popularity. The Da Vinci Surgical System? can ensure improved local control of cancer and fewer perioperative complications. However, RALP ...

Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer.

PET clinics
PET imaging with targeted novel tracers has been commonly used in the clinical management of prostate cancer. The use of artificial intelligence (AI) in PET imaging is a relatively new approach and in this review article, we will review the current t...

[Research status and prospect of artificial intelligence technology in the diagnosis of urinary system tumors].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
With the rapid development of artificial intelligence technology, researchers have applied it to the diagnosis of various tumors in the urinary system in recent years, and have obtained many valuable research results. The article sorted the research ...

Novel Machine Learning Model Uncovers Key Prostate Cancer Pathways.

Cancer discovery
A biologically informed sparse neural network, P-NET, revealed previously unknown potential drivers.

[Comparison of single incision robot-assisted laparoscopic radical prostatectomy with and without extraperitoneal special channel device].

Zhonghua yi xue za zhi
To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectomy (RARP) with and without extraperitoneal special channel device. The clinical data of 70 patients who had undergone RARP in the Robotic Minimally In...

Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Automatic segmentation of the prostate on Magnetic Resonance Imaging (MRI) is one of the topics on which research has focused in recent years as it is a fundamental first step in the building process of a Computer aided diagnosis (CAD) system for can...

Learning a Triplet Embedding Distance to Represent Gleason Patterns.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Gleason grade stratification is the main histological standard to determine the severity and progression of prostate cancer. Nonetheless, there is a high variability on disease diagnosis among expert pathologists (kappa lower than 0.44). End-to-end d...