Latest AI and machine learning research in adhd/add for healthcare professionals.
BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of dementia in general and in Alzheimer's disease (AD) in particular with the aim to classify, at the individual level, AD patients and healthy controls cooperating with neuropsychological tests for an early diagnosis. Advanced network analysis of electroencephalographic (EEG) rhythms provides informat...
With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generated from both diagnostic and research laboratories for the foreseeable future, then there is both an opportunity and a need to evaluate how effectively computational approaches can be used within bacterial genomics to predict and understand complex phe...
Complaints about electronic health records, including information overload, note bloat, and alert fatigue, are frequent topics of discussion. Despite ...
For data science tools to mature and become integrated into routine clinical practice, they must add value to patient care by improving quality withou...
In psycholinguistics, there has been relatively little work investigating conceptualization-how speakers decide which concepts to express. This contra...
Data science is likely to lead to major changes in cardiovascular imaging. Problems with timing, efficiency, and missed diagnoses occur at all stages ...
Memristors have been compared to neurons and synapses, suggesting they would be good for neuromorphic computing. A change in voltage across a memristo...
We have established diagnostic thresholds of very long-chain fatty acids (VLCFA) for the differential diagnosis of peroxisomal disorders using the mac...
School violence has increased over the past ten years. This study evaluated students using a more standard and sensitive method to help identify stude...
Machine learning methods are being increasingly applied to physical healthcare. In this article we describe some of the potential benefits, challenges...
A major hurdle for the widespread use of wearable assistive devices is determining, moment-by-moment, the control mode appropriate for a given terrain...
SUMMARY: Second use of clinical data commonly involves annotating biomedical text with terminologies and ontologies. The National Center for Biomedica...
Many life science datasets are now available via Linked Data technologies, meaning that they are represented in a common format (the Resource Descript...
The ability to accurately monitor alterations in sperm motility is paramount to understanding multiple genetic and biochemical perturbations impacting...
IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriously impairing, and usually undiagnosed has led to ...
This paper describes the design and initial prototype of a thumb curling exoskeleton for movement therapy. This add-on device for the Finger INdividua...
The aim of this paper was to analyze the P-wave variability over time in patients suffering from Atrial Fibrillation (AF). Behind some time-domain and...
The purpose of this study was to quantitatively compare the effects, on walking performance, of end-effector robotic rehabilitation locomotor training...
Mathematical models that predict the behavior of human bacterial pathogens in food are valuable tools for assessing and managing this risk to public h...