AIMC Topic: Natural Language Processing
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An Accurate and Automated Method for Adenoma Detection Rate and Report Card Generation Utilizing Common Electronic Health Records.
Journal of clinical gastroenterology
Aug 1, 2024
GOALS: To develop an automated method for Adenoma Detection Rate (ADR) calculation and report card generation using common electronic health records (EHRs).
Evaluating the accuracy of lung-RADS score extraction from radiology reports: Manual entry versus natural language processing.
International journal of medical informatics
Jul 31, 2024
INTRODUCTION: Radiology scoring systems are critical to the success of lung cancer screening (LCS) programs, impacting patient care, adherence to follow-up, data management and reporting, and program evaluation. LungCT ScreeningReporting and Data Sys...
MedExpQA: Multilingual benchmarking of Large Language Models for Medical Question Answering.
Artificial intelligence in medicine
Jul 31, 2024
Large Language Models (LLMs) have the potential of facilitating the development of Artificial Intelligence technology to assist medical experts for interactive decision support. This potential has been illustrated by the state-of-the-art performance ...
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts.
IEEE transactions on visualization and computer graphics
Jul 31, 2024
Recent growth in the popularity of large language models has led to their increased usage for summarizing, predicting, and generating text, making it vital to help researchers and engineers understand how and why they work. We present KnowledgeVIS, a...
Joint extraction of Chinese medical entities and relations based on RoBERTa and single-module global pointer.
BMC medical informatics and decision making
Jul 31, 2024
BACKGROUND: Most Chinese joint entity and relation extraction tasks in medicine involve numerous nested entities, overlapping relations, and other challenging extraction issues. In response to these problems, some traditional methods decompose the jo...
The changing landscape of text mining: a review of approaches for ecology and evolution.
Proceedings. Biological sciences
Jul 31, 2024
In ecology and evolutionary biology, the synthesis and modelling of data from published literature are commonly used to generate insights and test theories across systems. However, the tasks of searching, screening, and extracting data from literatur...
Artificial intelligence in the detection and treatment of depressive disorders: a narrative review of literature.
International review of psychiatry (Abingdon, England)
Jul 30, 2024
Modern psychiatry aims to adopt precision models and promote personalized treatment within mental health care. However, the complexity of factors underpinning mental disorders and the variety of expressions of clinical conditions make this task arduo...
Speech and language patterns in autism: Towards natural language processing as a research and clinical tool.
Psychiatry research
Jul 30, 2024
Speech and language differences have long been described as important characteristics of autism spectrum disorder (ASD). Linguistic abnormalities range from prosodic differences in pitch, intensity, and rate of speech, to language idiosyncrasies and ...
Cross-lingual hate speech detection using domain-specific word embeddings.
PloS one
Jul 30, 2024
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. Hate speech detection in online social networks is a multidimensional problem, dependent on language and cultural factors. Most supervised learning ...
Transformer models in biomedicine.
BMC medical informatics and decision making
Jul 29, 2024
Deep neural networks (DNN) have fundamentally revolutionized the artificial intelligence (AI) field. The transformer model is a type of DNN that was originally used for the natural language processing tasks and has since gained more and more attentio...
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