Transplantation

System Transformation-Based Neural Control for Full-State-Constrained Pure-Feedback Systems via Disturbance Observer.

In this article, a novel disturbance observer-based adaptive neural control (ANC) scheme is proposed...

Splenic artery steal syndrome in patients with orthotopic liver transplant: Where to embolize the splenic artery?

PURPOSE: This study compared proximal and distal embolization of the splenic artery (SA) in patients...

Robotic versus hand-assisted laparoscopic living donor nephrectomy: comparison of two minimally invasive techniques in kidney transplantation.

Robot-assisted donor nephrectomy (RDN) is increasingly used due to its advantages such as its precis...

Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm.

Sepsis is a life-threatening condition in which the immune response is directed towards the host tis...

Re: Robotic Kidney Transplantation with Regional Hypothermia Versus Open Kidney Transplantation for Patients with End Stage Renal Disease: An Ideal Stage 2B Study.

Convolutional Blur Attention Network for Cell Nuclei Segmentation.

Accurately segmented nuclei are important, not only for cancer classification, but also for predicti...

Robot-assisted kidney transplantation as a minimally invasive approach for kidney transplant recipients: A systematic review and meta-analyses.

BACKGROUND: Robot-assisted kidney transplantation (RAKT) has emerged as an alternative for kidney tr...

Experimental Research on the Antitumor Effect of Human Gastric Cancer Cells Transplanted in Nude Mice Based on Deep Learning Combined with Spleen-Invigorating Chinese Medicine.

Gastric cancer is still the fifth most common malignant tumor in the world and has the fourth highes...

Modeling of the dynamics of vascular embolization by using porous media for the design of injection robots of embolic agents.

Embolization is the prevailing therapy for tumor-targeting, anti-organ hyperfunction, and hemostasis...

Effectiveness of Retzius-Sparing Robot-Assisted Radical Prostatectomy in a Renal Transplant Recipient: a Case Report.

BACKGROUND: Prostate cancer (PCa) has increased as a long-term outcome of advanced immunosuppression...

Robot-Assisted Kidney Transplantation: Initial Experience with a Modified Hypothermia Technique.

INTRODUCTION: The aim of the study was to report our initial experience of robot-assisted kidney tra...

Automatic contouring of normal tissues with deep learning for preclinical radiation studies.

Delineation of relevant normal tissues is a bottleneck in image-guided precision radiotherapy workfl...

Functions of RNF Family in the Tumor Microenvironment and Drugs Prediction in Grade II/III Gliomas.

Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...

AI-Based Publicity Strategies for Medical Colleges: A Case Study of Healthcare Analysis.

The health status and cognition of undergraduates, especially the scientific concept of healthcare, ...

Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions.

One of the leading causes of deaths around the globe is heart disease. Heart is an organ that is res...

Determining the factors of m-wallets adoption. A twofold SEM-ANN approach.

M-wallets are comparatively more advantageous and convenient than conventional payment systems as m-...

Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks.

Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Co...

Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning.

INTRODUCTION AND HYPOTHESIS: We aimed to develop a deep learning-based multi-label classification mo...

Robotic Transplant Surgery Broadening the Playing Field.

Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representation.

High resolution in situ hybridization (ISH) images of the brain capture spatial gene expression at c...

Application of classic and soft computing for modeling yield and environmental final impact in vegetable production (a case study: transplanting onion in Isfahan province, Iran).

This study aimed to develop a precision model between inputs and yield, and also between inputs (ind...