Latest AI and machine learning research in risk management for healthcare professionals.
In this paper, a protocol-based finite-horizon H and l-l estimation approach is put forward to solve the state estimation problem for discrete-time memristive neural networks (MNNs) subject to time-varying delays and energy-bounded disturbances. The Round-Robin protocol is utilized to mitigate unnecessary network congestion occurring in the sensor-to-estimator communication channel. For the delaye...
Surgeons and residents report using videos to prepare for procedures, with a preference for open access resources, specifically YouTube. The educational quality of online videos is uncertain. Videos are uploaded without quality assessment, and ranked by popularity. This study aims to better characterize the available pediatric robotic pyeloplasty videos on YouTube, and assess for conformity to LA...
Multicenter magnetic resonance imaging is gaining more popularity in large-sample projects. Since both varying hardware and software across different ...
Machine learning (ML) algorithms permit the integration of different features into a model to perform classification or regression tasks with an accur...
Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive care unit (ICU). Gram-negative (GN) organisms with PT...
Allele specific antibody response against the polymorphic system of HLA is the allogeneic response marker determining the immunological risk for graft...
Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challenging. Our primary aim was to assess the potential con...
Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are known to be major obstacles in multi-site clinica...
The lifetime of a node in wireless sensor networks (WSN) is directly responsible for the longevity of the wireless network. The routing of packets is ...
In this paper, the protocol-based remote state estimation problem is considered for a kind of delayed artificial neural networks. The random time-vary...
Food poisoning from consumption of food contaminated with non-typhoidal Salmonella spp. is a global problem. A modified high resolution DNA melting cu...
Glomerular cell death is a pathological feature of myeloperoxidase anti neutrophil cytoplasmic antibody associated vasculitis (MPO-AAV). Extracellular...
Delineation of the bladder under a dynamic contrast enhanced (DCE)-MRI protocol requires robust segmentation. However, this method is subject to error...
While a plethora of different protein-ligand docking protocols have been developed over the past twenty years, their performances greatly depend on th...
Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various medical conditions, following the latest advancemen...
The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex problems by discovering associations among differ...
The aim of this study is to present a robot-assisted therapy protocol for children with ASD based on the current state-of-the-art in both ASD interven...
BACKGROUND: Parkinson's disease is one of the most frequent causes of disability among the older adults. It is a chronic-progressive neuro-degenerativ...
Ionic electromechanically active capacitive laminates are a type of smart material that move in response to electrical stimulation. Due to the soft, c...