Latest AI and machine learning research in practice management for healthcare professionals.
Communication is a core component of effective healthcare that impacts many patient and doctor outco...
One of the modern trends in the design of human-machine interfaces (HMI) is to involve the so called...
PURPOSE: Identification of patients for epidemiologic research through administrative coding has imp...
Individuals suffer from chronic diseases without being identified in time, which brings lots of burd...
Fetal yawning is of interest because of its clinical, developmental and theoretical implications. Ho...
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Pro...
Blood-borne small non-coding (sncRNAs) are among the prominent candidates for blood-based diagnostic...
Recent research on hand detection and gesture recognition has attracted increasing interest due to i...
Brette contends that the neural coding metaphor is an invalid basis for theories of what the brain d...
A gene is considered essential if loss of function results in loss of viability, fitness or in disea...
belongs to the family Uraniidae in the superfamily Geometroidea (Lepidoptera). We sequenced 15,346-...
In this study, the complete mitochondrial genome of the marbled eelpout, Taranetz & Andriashev, 193...
While machine learning approaches can enhance prediction ability, little is known about their abilit...
Symptoms are common in patients on maintenance hemodialysis but identification is challenging. New i...
Mammalian brains respond to new concepts via a type of neural coding termed "concept coding." During...
BACKGROUND: An optimal method to quantify surgical complexity using patient comorbidities derived fr...
The International Classification of Diseases (ICD) not only serves as the bedrock for health statist...
Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model buildin...
We present a framework based on iterative free-energy optimization with spiking neural networks for ...
This work presents a two-stage deep learning system for Named Entity Recognition (NER) and Relation ...
BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a...