AIMC Topic: Retrospective Studies

Clear Filters Showing 9251 to 9260 of 9989 articles

[Short-term effectiveness of orthopedic robot-assisted femoral neck system fixation for fresh femoral neck fractures].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To investigate the short-term effectiveness and advantages of the orthopedic robot-assisted femoral neck system (FNS) fixation in the treatment of fresh femoral neck fractures compared with the traditional manual operation.

[Ultra-remote robot-assisted laparoscopic surgery for varicocele through 5G network: Report of two cases and review of the literature].

Zhonghua nan ke xue = National journal of andrology
OBJECTIVE: At present, the longest network transmission distance (NTD) for 5G remote endoscopic surgery is reportedly only about 229 km, and the NTD longer than 5 000 km has not yet been reported in clinical application. In this study, we attempted t...

Deep Learning for Synthetic CT from Bone MRI in the Head and Neck.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Bone MR imaging techniques enable visualization of cortical bone without the need for ionizing radiation. Automated conversion of bone MR imaging to synthetic CT is highly desirable for downstream image processing and eventual...

[Effect of Deep Learning-based Contrast-enhanced CT Image Reconstruction on the Image Quality of the Biliary System].

Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Objective To evaluate the effect of a deep learning reconstruction (DLR) method on the visibility of contrast-enhanced CT images of the biliary system by comparing it with different iterative reconstruction algorithms including the adaptive iterative...

Pointwise Visual Field Estimation From Optical Coherence Tomography in Glaucoma Using Deep Learning.

Translational vision science & technology
PURPOSE: Standard automated perimetry is the gold standard to monitor visual field (VF) loss in glaucoma management, but it is prone to intrasubject variability. We trained and validated a customized deep learning (DL) regression model with Xception ...

Methodology in Conventional Head and Neck Reconstruction Following Robotic Cancer Surgery: A Bridgehead Robotic Head and Neck Reconstruction.

Yonsei medical journal
PURPOSE: Robotic head and neck surgery is widespread nowadays. However, in the reconstruction field, the use of robotic operations is not. This article aimed to examine methodologies for conventional head and neck reconstruction after robotic tumor s...

DEEP LEARNING-BASED PREDICTION OF OUTCOMES FOLLOWING NONCOMPLICATED EPIRETINAL MEMBRANE SURGERY.

Retina (Philadelphia, Pa.)
PURPOSE: We used deep learning to predict the final central foveal thickness (CFT), changes in CFT, final best corrected visual acuity, and best corrected visual acuity changes following noncomplicated idiopathic epiretinal membrane surgery.

Standard Multiport Single-Port Robot-Assisted Simple Prostatectomy: A Single-Center Initial Experience.

Journal of endourology
Robot-assisted simple prostatectomy (RASP) has emerged as a safe surgical treatment for patients with benign prostatic hyperplasia with large glands (>80 mL). Several studies reported on perioperative outcomes of RASP by the standard multiport (MP) ...

The Evolution of Retzius-Sparing Robot-Assisted Laparoscopic Prostatectomy: An Idea, Development, Evolution, Assessment, and Long-Term Study Perspective.

Journal of endourology
The Retzius-sparing (RS) approach represents an important surgical innovation in how robot-assisted laparoscopic prostatectomy (RALP) is performed. The aim of this study was to examine to what extent its development has followed the idea, developmen...

Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites.

Frontiers in bioscience (Landmark edition)
BACKGROUND: Existing challenges of lung cancer screening included non-accessibility of computed tomography (CT) scanners and inter-reader variability, especially in resource-limited areas. The combination of mobile CT and deep learning technique has ...