AIMC Topic: Natural Language Processing

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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 Medical Oncology Neoplasms Natural Language Processing Humans Electronic Health Records
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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...
Radiology Information Systems Humans Radiography, Thoracic Natural Language Processing
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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...
Humans Systematic Reviews as Topic Algorithms Natural Language Processing 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 Humans Natural Language Processing Machine Learning Autistic Disorder
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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...
Psychological Tests Intellectual Disability Attention Deficit Disorder with Hyperactivity Female Child Male Humans Adult Natural Language Processing Adolescent Machine Learning
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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...
Machine Learning Deep Learning Natural Language Processing Semantics Humans
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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...
Humans Diagnostic Imaging Surveys and Questionnaires Natural Language Processing
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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...
Early Diagnosis Humans Artificial Intelligence Natural Language Processing Deep Learning Disease Management Machine Learning Renal Insufficiency, Chronic Risk Assessment
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Natural Language Processing to Extract Head and Neck Cancer Data From Unstructured Electronic Health Records.

Clinical oncology (Royal College of Radiologists (Great Britain)) Mar 20, 2025
AIMS: Patient data is frequently stored as unstructured data within Electronic Health Records (EHRs), requiring manual curation. AI tools using Natural Language Processing (NLP) may rapidly curate accurate real-world unstructured EHRs to enrich datas...
Head and Neck Neoplasms Natural Language Processing Humans Electronic Health Records
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Identifying opioid relapse during COVID-19 using natural language processing of nationwide Veterans Health Administration electronic medical record data.

Journal of psychopathology and clinical science Mar 20, 2025
Novel and automated means of opioid use and relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined for clinically relevant information, including the presence of substance use an...
Humans COVID-19 Male Middle Aged Veterans United States Opioid-Related Disorders Electronic Health Records Natural Language Processing Recurrence SARS-CoV-2 United States Department of Veterans Affairs Female Adult
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