AIMC Topic: Natural Language Processing

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Natural language processing for identifying major bleeding risk in hospitalised medical patients.

Computers in biology and medicine Mar 30, 2025
BACKGROUND: Major bleeding is a severe complication in critically ill medical patients, resulting in significant morbidity, mortality, and healthcare costs. This study aims to assess the incidence and risk factors for major bleeding in hospitalised m...
Hemorrhage Male Middle Aged Risk Assessment Natural Language Processing Adult Cross-Sectional Studies Aged Aged, 80 and over Retrospective Studies Electronic Health Records Risk Factors Hospitalization Female Humans
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A vision attention driven Language framework for medical report generation.

Scientific reports Mar 28, 2025
This study introduces the Medical Vision Attention Generation (MedVAG) model, a novel framework designed to facilitate the automated generation of medical reports. MedVAG integrates Vision Transformer (ViT)-based visual feature extraction and GPT-2 l...
Natural Language Processing Humans Attention Algorithms
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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review.

JMIR cancer Mar 28, 2025
BACKGROUND: Natural language processing systems for data extraction from unstructured clinical text require expert-driven input for labeled annotations and model training. The natural language processing competency of large language models (LLM) can ...
Data Mining Humans Medical Oncology Electronic Health Records Neoplasms Natural Language Processing
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Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework.

JMIR medical informatics Mar 28, 2025
BACKGROUND: Labeling unstructured radiology reports is crucial for creating structured datasets that facilitate downstream tasks, such as training large-scale medical imaging models. Current approaches typically rely on Bidirectional Encoder Represen...
Humans Natural Language Processing Radiology Information Systems Radiography, Thoracic
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Improving Systematic Review Updates With Natural Language Processing Through Abstract Component Classification and Selection: Algorithm Development and Validation.

JMIR medical informatics Mar 27, 2025
BACKGROUND: A challenge in updating systematic reviews is the workload in screening the articles. Many screening models using natural language processing technology have been implemented to scrutinize articles based on titles and abstracts. While the...
Algorithms Natural Language Processing Humans Systematic Reviews as Topic Abstracting and Indexing
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Who Tweets for the autistic community? A natural language processing-driven investigation.

Autism : the international journal of research and practice Mar 25, 2025
The formation of autism advocacy organisations led by family members of autistic individuals led to intense criticism from some parts of the autistic community. In response to what was perceived as a misrepresentation of their interests, autistic ind...
Social Media Natural Language Processing Autistic Disorder Humans Machine Learning
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Explainability Enhanced Machine Learning Model for Classifying Intellectual Disability and Attention-Deficit/Hyperactivity Disorder With Psychological Test Reports.

Journal of Korean medical science Mar 24, 2025
BACKGROUND: Psychological test reports are essential in assessing intellectual functioning, aiding in diagnosing and treating intellectual disability (ID) and attention-deficit/hyperactivity disorder (ADHD). However, these reports can have several pr...
Humans Machine Learning Female Natural Language Processing Intellectual Disability Attention Deficit Disorder with Hyperactivity Adolescent Psychological Tests Child Adult Male
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Optimising window size of semantic of classification model for identification of in-text citations based on context and intent.

PloS one Mar 24, 2025
Citations in scientific literature act as channels for the sharing, transfer, and development of scientific knowledge. However, not all citations hold the same significance. Numerous taxonomies and machine learning models have been developed to analy...
Humans Machine Learning Semantics Deep Learning Natural Language Processing
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CLIP in medical imaging: A survey.

Medical image analysis Mar 22, 2025
Contrastive Language-Image Pre-training (CLIP), a simple yet effective pre-training paradigm, successfully introduces text supervision to vision models. It has shown promising results across various tasks due to its generalizability and interpretabil...
Natural Language Processing Diagnostic Imaging Humans Surveys and Questionnaires
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Artificial intelligence in chronic kidney disease management: a scoping review.

Theranostics Mar 21, 2025
Chronic kidney disease (CKD) is a major public health problem worldwide associated with cardiovascular disease, renal failure, and mortality. To effectively address this growing burden, innovative solutions to management are urgently required. We co...
Disease Management Early Diagnosis Renal Insufficiency, Chronic Natural Language Processing Risk Assessment Deep Learning Humans Artificial Intelligence Machine Learning
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