AIMC Topic: Male

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Convolutional Neural Network Quantification of Gleason Pattern 4 and Association With Biochemical Recurrence in Intermediate-Grade Prostate Tumors.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Differential classification of prostate cancer grade group (GG) 2 and 3 tumors remains challenging, likely because of the subjective quantification of the percentage of Gleason pattern 4 (%GP4). Artificial intelligence assessment of %GP4 may improve ...

Correlation analysis of deep learning methods in S-ICD screening.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc
BACKGROUND: Machine learning methods are used in the classification of various cardiovascular diseases through ECG data analysis. The concept of varying subcutaneous implantable cardiac defibrillator (S-ICD) eligibility, owing to the dynamicity of EC...

HGM-cNet: Integrating hippocampal gray matter probability map into a cascaded deep learning framework improves hippocampus segmentation.

European journal of radiology
A robust cascaded deep learning framework with integrated hippocampal gray matter (HGM) probability map was developed to improve the hippocampus segmentation (called HGM-cNet) due to its significance in various neuropsychiatric disorders such as Alzh...

Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19.

Journal of telemedicine and telecare
INTRODUCTION: Age-related macular degeneration, diabetic retinopathy, and glaucoma are vision-threatening diseases that are leading causes of vision loss. Many studies have validated deep learning artificial intelligence for image-based diagnosis of ...

AggregateNet: A deep learning model for automated classification of cervical vertebrae maturation stages.

Orthodontics & craniofacial research
OBJECTIVE: A study of supervised automated classification of the cervical vertebrae maturation (CVM) stages using deep learning (DL) network is presented. A parallel structured deep convolutional neural network (CNN) with a pre-processing layer that ...

Lower Detrusor Apron-sparing Robot-assisted Radical Cystectomy and Intracorporeal Neobladder Reconstruction: Technique and Preliminary Outcomes.

European urology focus
BACKGROUND: Prior studies on robot-assisted laparoscopic prostatectomy (RALP) have shown that preservation of the anterior periprostatic structures is associated with good functional outcomes in terms of urinary continence and erectile function. With...

Recent advances in single-site/incision robotic-assisted radical prostatectomy.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
INTRODUCTION: Single-site robotic-assisted radical prostatectomy (ssRARP) has been successfully applied to treat prostate cancer. This review aims to describe the recent advances of surgical approaches, working accesses and novel robotic platforms in...

Deep learning-based dominant index lesion segmentation for MR-guided radiation therapy of prostate cancer.

Medical physics
BACKGROUND: Dose escalation radiotherapy enables increased control of prostate cancer (PCa) but requires segmentation of dominant index lesions (DIL). This motivates the development of automated methods for fast, accurate, and consistent segmentation...

Clinical efficacy of robot-assisted subxiphoid versus lateral thoracic approach in the treatment of anterior mediastinal tumors.

World journal of surgical oncology
BACKGROUND: The purpose of this study was to compare the perioperative efficacy and safety of da Vinci robot-assisted thoracoscopic surgery (RATS) for treating anterior mediastinal tumors through the subxiphoid and lateral thoracic approaches under t...

Beyond diagnosis: is there a role for radiomics in prostate cancer management?

European radiology experimental
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative ...