Latest AI and machine learning research in surveys for healthcare professionals.
The protection and restoration of the biosphere is crucial for human resilience and well-being, but the scarcity of data on the status and distribution of biodiversity puts these efforts at risk. DNA released into the environment by organisms, i.e., environmental DNA (eDNA), can be used to monitor biodiversity in a scalable manner if equipped with the appropriate tool. However, the collection of e...
BACKGROUND: Multiple sclerosis often leads to proprioceptive impairments of the hand. However, it is challenging to objectively assess such deficits using clinical methods, thereby also impeding accurate tracking of disease progression and hence the application of personalized rehabilitation approaches.
Mobile applications have rapidly grown over the past few decades to offer futuristic applications, such as autonomous vehicles, smart farming, and sma...
Despite the prominent use of complex survey data and the growing popularity of machine learning methods in epidemiologic research, few machine learnin...
Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) has emerged as a surgical option for patients with prostatic cancer in high-volume cent...
Using computer vision through artificial intelligence (AI) is one of the main technological advances in dentistry. However, the existing literature on...
Artificial intelligence (AI) with deep learning models has been widely applied in numerous domains, including medical imaging and healthcare tasks. In...
Although computational predictions of pharmacokinetics (PK) are desirable at the drug design stage, existing approaches are often limited by predictio...
The concept design evaluation phase of the new product launch is extremely important. However, current evaluation information relies mainly on the a p...
This study addresses time intervals during robot control that dominate user satisfaction and factors of robot movement that induce satisfaction. We de...
Since humans and robots are increasingly sharing portions of their operational spaces, experimental evidence is needed to ascertain the safety and soc...
In psychology, linear discriminant analysis (LDA) is the method of choice for two-group classification tasks based on questionnaire data. In this stud...
Artificial Intelligence (AI) for human emotion estimation, such as facial emotion estimation, has been actively studied. On the other hand, there has ...
Transcranial magnetic stimulation (TMS) motor mapping is a safe, non-invasive method used to study corticomotor organization and intervention-induced ...
Learning from a limited number of experiences requires suitable inductive biases. To identify how inductive biases are implemented in and shaped by ne...
In order to minimize the generalization error in neural networks, a novel technique to identify overfitting phenomena when training the learner is for...
BACKGROUND: Artificial intelligence (AI) and machine learning are transforming the optimization of clinical and patient workflows in healthcare. There...
Today, society is more aware of their well-being and health, making wearable devices a new and affordable way to track them continuously. Smartwatches...
BACKGROUND: Digital imaging analysis (DIA) estimates collected from mobile applications comprise a novel technique that can collect body composition e...
Background and objective: Duration of rehabilitation and active participation are crucial for gait rehabilitation in the early stage after stroke onse...