AIMC Topic: Prostate

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[Robot-assisted prostatectomy for PT3. Oncological and functional outcomes].

Urologiia (Moscow, Russia : 1999)
In 2020, prostate cancer (PCa) ranked third in the structure of the most significant oncological diseases. In the Russian Federation, in terms of the frequency of detection among men, prostate cancer is second only to tumors of the upper respiratory ...

Application of robot-assisted radical prostatectomy in men over 75 years: an analysis of comparative outcomes.

The aging male : the official journal of the International Society for the Study of the Aging Male
OBJECTIVE: This study aimed to summarize the current evidence regarding the feasibility of robot-assisted radical prostatectomy (RARP) in men aged over 75 years.

Using SimAM and SSD to Detect Prostate Capsule.

Studies in health technology and informatics
Aiming at the problem of accurate detection of the prostate capsule, this paper designed an accurate detection network of the prostate capsule by integrating 3d non-parametric residual attention mechanism SimAM and SSD, whcih called Attention based o...

Clinical Validation of Artificial Intelligence-Augmented Pathology Diagnosis Demonstrates Significant Gains in Diagnostic Accuracy in Prostate Cancer Detection.

Archives of pathology & laboratory medicine
CONTEXT.—: Prostate cancer diagnosis rests on accurate assessment of tissue by a pathologist. The application of artificial intelligence (AI) to digitized whole slide images (WSIs) can aid pathologists in cancer diagnosis, but robust, diverse evidenc...

DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction.

JCO clinical cancer informatics
PURPOSE: Manual extraction of case details from patient records for cancer surveillance is a resource-intensive task. Natural Language Processing (NLP) techniques have been proposed for automating the identification of key details in clinical notes. ...

Deep Learning Super-Resolution Reconstruction for Fast and Motion-Robust T2-weighted Prostate MRI.

Radiology
Background Deep learning (DL) reconstructions can enhance image quality while decreasing MRI acquisition time. However, DL reconstruction methods combined with compressed sensing for prostate MRI have not been well studied. Purpose To use an industry...

[Clinical study of artificial intelligence-guided image fusion assisted transperineal prostate biopsy].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: To compare the diagnostic efficacy of AI-guided mpMRI-TRUS fusion assisted transperineal systematic biopsy, targeted biopsy and combined biopsy in the diagnosis of PCa, and to evaluate the clinical application value of combined biopsy.