AIMC Topic: Natural Language Processing
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Application of a natural language processing artificial intelligence tool in psoriasis: A cross-sectional comparative study on identifying affected areas in patients' data.
Clinics in dermatology
Jun 21, 2024
Psoriasis is an immune-mediated skin disease affecting approximately 3% of the global population. Proper management of this condition necessitates the assessment of the body surface area and the involvement of nails and joints. The integration of nat...
Use of Artificial Intelligence Techniques to Assist Individuals with Physical Disabilities.
Annual review of biomedical engineering
Jun 20, 2024
Assistive technologies (AT) enable people with disabilities to perform activities of daily living more independently, have greater access to community and healthcare services, and be more productive performing educational and/or employment tasks. Int...
Large language models and artificial intelligence chatbots in vascular surgery.
Seminars in vascular surgery
Jun 19, 2024
Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbot...
Large Language Models in Orthopaedics: Definitions, Uses, and Limitations.
The Journal of bone and joint surgery. American volume
Jun 19, 2024
➤ Large language models are a subset of artificial intelligence. Large language models are powerful tools that excel in natural language text processing and generation.➤ There are many potential clinical, research, and educational applications of lar...
Identification of hepatic steatosis among persons with and without HIV using natural language processing.
Hepatology communications
Jun 19, 2024
BACKGROUND: Steatotic liver disease (SLD) is a growing phenomenon, and our understanding of its determinants has been limited by our ability to identify it clinically. Natural language processing (NLP) can potentially identify hepatic steatosis syste...
Enabling CMF estimation in data-constrained scenarios: A semantic-encoding knowledge mining model.
Accident; analysis and prevention
Jun 18, 2024
Availability of more accurate Crash Modification Factors (CMFs) is crucial for evaluating the effectiveness of various road safety treatments and prioritizing infrastructure investment accordingly. While customized study for each countermeasure scena...
EHR coding with hybrid attention and features propagation on disease knowledge graph.
Artificial intelligence in medicine
Jun 18, 2024
And sentences associated with these attributes and relationships have been neglected. in this paper ►We propose an end-to-end model called Knowledge Graph Enhanced neural network (KGENet) to address the above shortcomings. specifically ►We first cons...
The Rosetta System: Lessons for rural Australian health care from successful implementation of a hospital-wide natural language processing system in metropolitan South Australia.
The Australian journal of rural health
Jun 18, 2024
Assessing inclusion and representativeness on digital platforms for health education: Evidence from YouTube.
Journal of biomedical informatics
Jun 15, 2024
BACKGROUND: Studies confirm that significant biases exist in online recommendation platforms, exacerbating pre-existing disparities and leading to less-than-optimal outcomes for underrepresented demographics. We study issues of bias in inclusion and ...
Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain.
Systematic reviews
Jun 15, 2024
BACKGROUND: Systematically screening published literature to determine the relevant publications to synthesize in a review is a time-consuming and difficult task. Large language models (LLMs) are an emerging technology with promising capabilities for...
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