Latest AI and machine learning research in work force for healthcare professionals.
We present a parallel Monte Carlo (MC) simulation platform for rapidly generating synthetic common-p...
Afferent proprioceptive signals, responsible for body awareness, have a crucial role when planning a...
This paper presents our approach to predicting future error-related events in a robot-mediated gamif...
Neurological impairment from stroke or cerebral palsy often presents with diminished ankle plantar f...
Squatting is a dynamic task that is often done for strengthening and improving balance. Most squat t...
Transfer learning from ImageNet pretrained weights is widely used when training Deep Learning models...
Chronic Venous Disorders (CVD) of lower limbs are one of the most prevalent medical conditions, affe...
Biomedical image datasets can be imbalanced due to the rarity of targeted diseases. Generative Adver...
The purpose of this study it to assess the effect of sequential learning of self-training support ve...
This work focuses on detection of upper gas-trointestinal (GI) landmarks, which are important anatom...
Machine learning is playing an increasingly critical role in health science with its capability of i...
Deep neural networks (DNNs) are the primary driving force for the current development of medical ima...
Patients with deep burns are prone to suffer cicatrix hyperplasia or contracture, leading to problem...
Digital transformation of the healthcare workforce is a priority if we are to leverage the potential...
Supervised predictive models require labeled data for training purposes. Complete and accurate label...
Artificial intelligence (AI) and machine learning (ML) technologies have not only tremendous potenti...
Atom typing is the first step for simulating molecules using a force field. Automatic atom typing fo...
Routine medical care is to be transformed by the introduction of artificial intelligence (AI), requi...
Digital technology trends for mental health, instantiated with only emerging use cases or already es...
Burnout syndrome and depression are prevalent mental health problems in many societies today. Most e...
Recent work on spiking neural networks (SNNs) has focused on achieving deep architectures. They comm...