AIMC Topic: Medical Informatics

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Contextual information contributes to biomedical named entity normalization.

Journal of biomedical informatics Mar 6, 2025
OBJECTIVE: As one of the most crucial upstream tasks in biomedical informatics, biomedical named entity normalization (BNEN) aims to map mentioned named entities to uniform standard identifiers or terms. Most existing methods only consider the simila...
Humans Algorithms Semantics Data Mining Medical Informatics Databases, Factual Natural Language Processing
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A Joint LLM-KG System for Disease Q&A.

IEEE journal of biomedical and health informatics Mar 6, 2025
Medical question answer (QA) assistants respond to lay users' health-related queries by synthesizing information from multiple sources using natural language processing and related techniques. They can serve as vital tools to alleviate issues of misi...
Humans Natural Language Processing Medical Informatics
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Missing-modality enabled multi-modal fusion architecture for medical data.

Journal of biomedical informatics Feb 21, 2025
BACKGROUND: Fusion of multi-modal data can improve the performance of deep learning models. However, missing modalities are common in medical data due to patient specificity, which is detrimental to the performance of multi-modal models in applicatio...
Algorithms Deep Learning Humans Medical Informatics Radiography, Thoracic
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Discontinuous named entities in clinical text: A systematic literature review.

Journal of biomedical informatics Jan 23, 2025
OBJECTIVE: Extracting named entities from clinical free-text presents unique challenges, particularly when dealing with discontinuous entities-mentions that are separated by unrelated words. Traditional NER methods often struggle to accurately identi...
Humans Electronic Health Records Data Mining Natural Language Processing Medical Informatics
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BiomedRAG: A retrieval augmented large language model for biomedicine.

Journal of biomedical informatics Jan 13, 2025
Retrieval-augmented generation (RAG) involves a solution by retrieving knowledge from an established database to enhance the performance of large language models (LLM). , these models retrieve information at the sentence or paragraph level, potential...
Medical Informatics Large Language Models Data Mining Information Storage and Retrieval Humans Algorithms Databases, Factual Natural Language Processing
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Eight quick tips for biologically and medically informed machine learning.

PLoS computational biology Jan 9, 2025
Machine learning has become a powerful tool for computational analysis in the biomedical sciences, with its effectiveness significantly enhanced by integrating domain-specific knowledge. This integration has give rise to informed machine learning, in...
Medical Informatics Humans Machine Learning Algorithms Computational Biology
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Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals.

BMJ health & care informatics Dec 9, 2024
OBJECTIVE: To co-design artificial intelligence (AI)-based clinical informatics workflows to routinely analyse patient-reported experience measures (PREMs) in hospitals.
Workflow Patient Reported Outcome Measures Medical Informatics Surveys and Questionnaires Australia Artificial Intelligence Hospitals Humans
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ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment-practice recommendations by the European Society of Medical Imaging Informatics.

European radiology Dec 5, 2024
AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily at...
Europe Diagnostic Imaging Humans Artificial Intelligence Medical Informatics Societies, Medical Radiology Technology Assessment, Biomedical
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A multimodal approach for few-shot biomedical named entity recognition in low-resource languages.

Journal of biomedical informatics Nov 30, 2024
In this study, we revisit named entity recognition (NER) in the biomedical domain from a multimodal perspective, with a particular focus on applications in low-resource languages. Existing research primarily relies on unimodal methods for NER, which ...
Databases, Factual Language Humans Algorithms Medical Informatics Natural Language Processing Data Mining
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Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension.

Journal of biomedical informatics Oct 25, 2024
OBJECTIVE: Although deep learning techniques have shown significant achievements, they frequently depend on extensive amounts of hand-labeled data and tend to perform inadequately in few-shot scenarios. The objective of this study is to devise a stra...
Deep Learning Algorithms Humans Medical Informatics Natural Language Processing Databases, Factual Machine Learning Comprehension
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