Latest AI and machine learning research in adhd/add for healthcare professionals.
PURPOSE OF REVIEW: In recent years there has been interest in the use of machine learning in suicide research in reaction to the failure of traditional statistical methods to produce clinically useful models of future suicide. The current review summarizes recent prediction studies in the suicide literature including those using machine learning approaches to understand what value these novel appr...
Passive elastic elements can contribute to stability, energetic efficiency, and impact absorption in both biological and robotic systems. They also add dynamical complexity which makes them more challenging to model and control. The impact of this added complexity to autonomous learning has not been thoroughly explored. This is especially relevant to tendon-driven limbs whose cables and tendons ar...
Can artificial intelligence (AI) develop the potential to be our partner, and will we be as sensitive to its social signals as we are to those of huma...
MOTIVATION: In evidence-based medicine, defining a clinical question in terms of the specific patient problem aids the physicians to efficiently ident...
The neXtProt knowledgebase (https://www.nextprot.org) is an integrative resource providing both data on human protein and the tools to explore these. ...
Compounded medicinal products should be prepared using an appropriate quality-assurance system. Cleaning and disinfection, as part of this system, are...
BACKGROUND: Several studies investigated clinical and instrumental differences to make diagnosis of dementia in general and in Alzheimer's disease (AD...
With the ever-expanding number of available sequences from bacterial genomes, and the expectation that this data type will be the primary one generate...
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...