Cancer imaging : the official publication of the International Cancer Imaging Society
Feb 9, 2023
BACKGROUND: The purpose of this study was to explore whether incorporating the peritumoral region to train deep neural networks could improve the performance of the models for predicting the prognosis of NPC.
INTRODUCTION: The diagnosis and treatment of ankylosing spondylitis (AS) is a difficult task, especially in less developed countries without access to experts. To address this issue, a comprehensive artificial intelligence (AI) tool was created to he...
OBJECTIVE: To compare the tumor control in prostate cancer patients with oligo-metastasis following combined robot-assisted radical prostatectomy and androgen deprivation versus androgen deprivation therapy alone based on total prostate-specific anti...
AIMS: To develop a deep learning model for pressure injury stages classification based on real-world photographs and compare its performance with that of clinical nurses to seek the opportunity of its application in clinical settings.
Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
Feb 8, 2023
INTRODUCTION: To compare robotic assisted radical prostatectomy (RARP) in well-selected older patients with clinically localized prostate cancer, compared to a younger population. Primary endpoint was perioperative outcomes comparison and secondary e...
Simple prostatectomy is indicated in patients with enlarged glands (>80 ) who present with lower urinary tract symptoms (LUTS) attributed to benign prostatic hyperplasia. Salvage robotic simple prostatectomy (SSP) is defined as simple prostatectomy ...
Age assessment is regularly used in clinical routine by pediatric endocrinologists to determine the physical development or maturity of children and adolescents. Our study investigates whether age assessment can be performed using CT scout views from...
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary thyroid cancer (PTC). Genetic sequencing of tumor tissue has allowed the targeting of certain genetic variants for personalized cancer therapy develo...
Machine learning models can help improve health care services. However, they need to be practical to gain wide-adoption. In this study, we investigate the practical utility of different data modalities and cohort segmentation strategies when designin...
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Feb 6, 2023
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...
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