Latest AI and machine learning research in prescriptions for healthcare professionals.
Sense of Agency (SoA) is the feeling of control over one's actions and their outcomes. A well-established implicit measure of SoA is the temporal interval estimation paradigm, in which participants estimate the time interval between a voluntary action and its sensory consequence. In the present study, we aimed to investigate whether the valence of action outcome modulated implicit SoA. The valence...
With the increasing presence of robots in our daily lives, it is crucial to design interaction interfaces that are natural, easy to use and meaningful for robotic tasks. This is important not only to enhance the user experience but also to increase the task reliability by providing supplementary information. Motivated by this, we propose a multi-modal framework consisting of multiple independent m...
We present a novel soft exoskeleton providing active support for hand closing and opening. The main novelty is a different tendon routing, folded late...
An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging, releasing drug and operating. Normal hemodynamic...
INTRODUCTION: Concerns have been raised over the quality of drug safety information, particularly data completeness, collected through spontaneous rep...
To evaluate the consistency in the performance of Artificial Intelligence (AI)-based diagnostic support software in short-term digital mammography rei...
When the terminal upper limb rehabilitation robot is used for motion-assisted training, collisions between the manipulator links and the human upper l...
Sustained local delivery of meloxicam by polymeric structures is desirable for preventing subacute inflammation and biofilm formation following tissue...
A mixed-methods approach was used to assess the fidelity of virtual environments as ergonomic assessment tools for human-robot interaction. Participan...
This paper describes contextualized medication event extraction for automatically identifying medication change events with their contexts from clinic...
Artificial intelligence (AI) in the form of deep learning has promise for drug discovery and chemical biology, for example, to predict protein structu...
MicroRNAs have a significant role in the emergence of various human disorders. Consequently, it is essential to understand the existing interactions b...
Drug repurposing is an active area of research that aims to decrease the cost and time of drug development. Most of those efforts are primarily concer...
Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past few years, but with the decentralization and globa...
The continuous implementation of Artificial Intelligence (AI) in multiple scientific domains and the rapid advancement in computer software and hardwa...
In silico machine learning based prediction of drug functions considering the drug properties would substantially enhance the speed and reduce the cos...
Estimating interaction force is of great significance in the field of human-robot interaction (HRI) thanks to its guarantee of interaction safety. To ...
Children with autism spectrum disorder (ASD) have deficits in social interaction and expressing and understanding emotions. Based on this, robots for ...
BACKGROUND: Drug-drug interaction (DDI) information retrieval (IR) is an important natural language process (NLP) task from the PubMed literature. For...