AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Linguistics

Showing 61 to 70 of 182 articles

Clear Filters

Parsing clinical text: how good are the state-of-the-art parsers?

BMC medical informatics and decision making
BACKGROUND: Parsing, which generates a syntactic structure of a sentence (a parse tree), is a critical component of natural language processing (NLP) research in any domain including medicine. Although parsers developed in the general English domain,...

Exploring relation types for literature-based discovery.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Literature-based discovery (LBD) aims to identify "hidden knowledge" in the medical literature by: (1) analyzing documents to identify pairs of explicitly related concepts (terms), then (2) hypothesizing novel relations between pairs of un...

Incorporating linguistic knowledge for learning distributed word representations.

PloS one
Combined with neural language models, distributed word representations achieve significant advantages in computational linguistics and text mining. Most existing models estimate distributed word vectors from large-scale data in an unsupervised fashio...

Multilingual part-of-speech tagging with weightless neural networks.

Neural networks : the official journal of the International Neural Network Society
Training part-of-speech taggers (POS-taggers) requires iterative time-consuming convergence-dependable steps, which involve either expectation maximization or weight balancing processes, depending on whether the tagger uses stochastic or neural appro...

Link-topic model for biomedical abbreviation disambiguation.

Journal of biomedical informatics
INTRODUCTION: The ambiguity of biomedical abbreviations is one of the challenges in biomedical text mining systems. In particular, the handling of term variants and abbreviations without nearby definitions is a critical issue. In this study, we adopt...

Large Language Models: A Historical and Sociocultural Perspective.

Cognitive science
This letter explores the intricate historical and contemporary links between large language models (LLMs) and cognitive science through the lens of information theory, statistical language models, and socioanthropological linguistic theories. The eme...

Uncovering Variations in Clinical Notes for NLP Modeling.

Studies in health technology and informatics
Clinical text contains rich patient information and has attracted much research interest in applying Natural Language Processing (NLP) tools to model it. In this study, we quantified and analyzed the textual characteristics of five common clinical no...

[Not Available].

Journal international de bioethique et d'ethique des sciences
With the emergence of innovations and technological advancements – exemplified by telemedicine and more recently by the extremely rapid development of Generative Artificial Intelligence systems (Gen AI) like Large Language Models (LLM) such as ...

Assistive Completion of Agrammatic Aphasic Sentences: Amalgamation of NLP and Neurolinguistics-based Synthetic Dataset.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Damage to the inferior frontal gyrus (Broca's area) can cause agrammatic aphasia wherein patients, although able to comprehend, lack the ability to form complete sentences. This inability leads to communication gaps which cause difficulties in their ...