AIMC Topic: Natural Language Processing

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Transformer-based Model Captures Neural Representation Differences between Nouns and Verbs in Spoken Narratives.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Nouns and verbs constitute the fundamental elements of human language systems. Abundant studies have demonstrated that nouns and verbs exhibit different representations in both biological brains and various advanced deep neural networks (DNNs). Here,...

Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
State-of-the-art rule-based and classification-based food recommendation systems face significant challenges in becoming practical and useful. This difficulty arises primarily because most machine learning models struggle with problems characterized ...

Fast Rule-based NER in SpaCy for Chest Radiography Reports with CheXpert's 14 Categories.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Chest X-ray imaging is widely used in medical examinations, with 2 billion performed globally annually. Interpreting X-ray images is time-consuming, prompting the development of AI-assisted systems. Generating a large set of high-quality labeled imag...

LLM-based kidney disease diagnostic framework for Pathologists.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Large language models revolutionize the recent paradigm in the medical field and its contributing to various applications, diversified from clinical decision support to information extraction and summarization. The substantial linguistic understandin...

Natural Language Processing Algorithm to Extract Multiple Myeloma Stage From Oncology Notes in the Veterans Affairs Healthcare System.

JCO clinical cancer informatics
PURPOSE: Stage in multiple myeloma (MM) is an essential measure of disease risk, but its measurement in large databases is often lacking. We aimed to develop and validate a natural language processing (NLP) algorithm to extract oncologists' documenta...

Assessing citation integrity in biomedical publications: corpus annotation and NLP models.

Bioinformatics (Oxford, England)
MOTIVATION: Citations have a fundamental role in scholarly communication and assessment. Citation accuracy and transparency is crucial for the integrity of scientific evidence. In this work, we focus on quotation errors, errors in citation content th...

FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology.

Bioinformatics (Oxford, England)
MOTIVATION: Human Phenotype Ontology (HPO)-based phenotype concept recognition (CR) underpins a faster and more effective mechanism to create patient phenotype profiles or to document novel phenotype-centred knowledge statements. While the increasing...

Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports.

Radiology. Artificial intelligence
Purpose To assess the performance of a local open-source large language model (LLM) in various information extraction tasks from real-life emergency brain MRI reports. Materials and Methods All consecutive emergency brain MRI reports written in 2022 ...