Natural language processing (NLP) is a subfield of artificial intelligence devoted to
understanding and generation of language. The recent advances in NLP technologies are …

Artificial intelligence has become a ubiquitous term in radiology over the past several years,
and much attention has been given to applications that aid radiologists in the detection of …

Numerous genes for monogenic kidney diseases with classical patterns of inheritance, as
well as genes for complex kidney diseases that manifest in combination with environmental …

Objective Natural language processing (NLP) combined with machine learning (ML)
techniques are increasingly used to process unstructured/free-text patient-reported outcome …

Artificial intelligence (AI) is considered as the next natural progression of traditional
statistical techniques. Advances in analytical methods and infrastructure enable AI to be …

I develop a conceptual framework based on a systematic and comprehensive literature
review on the relationship between machine learning-based natural language processing …

Machine learning provides researchers with the ability to analyze data that were previously
inaccessible. While still burgeoning, several studies show promising results, which will …

Empirical evidence on big health care data in clinical natural language processing has been
scarcely documented in the literature. Using and replicating data from 3M Health Information …

Objective: In recent years, natural language processing (NLP) techniques have progressed,
and their application in the medical field has been tested. However, the use of NLP to detect …

Background The use of electronic medical records (EMRs)/electronic health records (EHRs)
provides potential to reduce unwarranted clinical variation and thereby improve patient …