AIMC Topic: Humans

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Nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence in specialized medical care: An interview study.

Journal of nursing management
AIM: To describe nurse leaders' and digital service developers' perceptions of the future role of artificial intelligence (AI) in specialized medical care.

Minimally invasive mitral valve surgery with or without robotics: Examining the evidence.

Journal of cardiac surgery
Minimally invasive mitral valve surgery can be performed with or without robotic assistance. In this issue of the journal, Zheng et al. compare between these two approaches in a propensity-matched study over a 5-year period and show that the two tech...

A Novel Wearable Soft Glove for Hand Rehabilitation and Assistive Grasping.

Sensors (Basel, Switzerland)
In order to assist patients with finger rehabilitation training and grasping objects, we propose a new type of soft rehabilitation gloves (SRGs), which has both flexion/extension and abduction/adduction movement function for every finger. This paper ...

Integration of Multi-Head Self-Attention and Convolution for Person Re-Identification.

Sensors (Basel, Switzerland)
Person re-identification is essential to intelligent video analytics, whose results affect downstream tasks such as behavior and event analysis. However, most existing models only consider the accuracy, rather than the computational complexity, which...

Contactless Fall Detection by Means of Multiple Bioradars and Transfer Learning.

Sensors (Basel, Switzerland)
Fall detection in humans is critical in the prevention of life-threatening conditions. This is especially important for elderly people who are living alone. Therefore, automatic fall detection is one of the most relevant problems in geriatrics. Biora...

Rolling Bearing Fault Diagnosis Based on WGWOA-VMD-SVM.

Sensors (Basel, Switzerland)
A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational mode decomposition-support vector machine (WGWOA-VMD-SVM) was proposed to solve the unclear fault characterization of rolling bearing vibration signa...

Prediction of Potential Commercially Available Inhibitors against SARS-CoV-2 by Multi-Task Deep Learning Model.

Biomolecules
The outbreak of COVID-19 caused millions of deaths worldwide, and the number of total infections is still rising. It is necessary to identify some potentially effective drugs that can be used to prevent the development of severe symptoms, or even dea...

Multicenter Study on COVID-19 Lung Computed Tomography Segmentation with varying Glass Ground Opacities using Unseen Deep Learning Artificial Intelligence Paradigms: COVLIAS 1.0 Validation.

Journal of medical systems
Variations in COVID-19 lesions such as glass ground opacities (GGO), consolidations, and crazy paving can compromise the ability of solo-deep learning (SDL) or hybrid-deep learning (HDL) artificial intelligence (AI) models in predicting automated COV...

Optimization Design of Street Public Space Layout on Account of Internet of Things and Deep Learning.

Computational intelligence and neuroscience
With the gradual improvement of material living standards, people have higher and higher requirements for the livability of modern cities. As an important component of urban construction, the optimal layout of street public space has gradually receiv...