AI Medical Compendium Journal:
Journal of the American Medical Informatics Association : JAMIA

Showing 71 to 80 of 493 articles

Collaborative large language models for automated data extraction in living systematic reviews.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
OBJECTIVE: Data extraction from the published literature is the most laborious step in conducting living systematic reviews (LSRs). We aim to build a generalizable, automated data extraction workflow leveraging large language models (LLMs) that mimic...
Natural Language Processing Information Storage and Retrieval Workflow Humans Systematic Reviews as Topic Data Mining Large Language Models
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Improving large language model applications in biomedicine with retrieval-augmented generation: a systematic review, meta-analysis, and clinical development guidelines.

Journal of the American Medical Informatics Association : JAMIA Apr 1, 2025
OBJECTIVE: The objectives of this study are to synthesize findings from recent research of retrieval-augmented generation (RAG) and large language models (LLMs) in biomedicine and provide clinical development guidelines to improve effectiveness.
Humans Information Storage and Retrieval Large Language Models Natural Language Processing Programming Languages
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Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: The degree to which deployed artificial intelligence-based deterioration prediction algorithms (AI-DPA) differ in their development, the reasons for these differences, and how this may impact their performance remains unclear. Our primary ...
Machine Learning Algorithms Humans Clinical Deterioration Artificial Intelligence
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Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for improving patient care and operational efficiency in healthcare. However, the use of LLMs is complicated by regulatory concerns around data security and p...
Health Insurance Portability and Accountability Act Academic Medical Centers Computer Security United States Confidentiality Generative Artificial Intelligence Artificial Intelligence Electronic Health Records Humans
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Semi-supervised learning from small annotated data and large unlabeled data for fine-grained Participants, Intervention, Comparison, and Outcomes entity recognition.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: Extracting PICO elements-Participants, Intervention, Comparison, and Outcomes-from clinical trial literature is essential for clinical evidence retrieval, appraisal, and synthesis. Existing approaches do not distinguish the attributes of P...
Humans Clinical Trials as Topic Natural Language Processing Data Mining Supervised Machine Learning Information Storage and Retrieval
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Development and evaluation of a 4M taxonomy from nursing home staff text messages using a fine-tuned generative language model.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: This study aimed to explore the utilization of a fine-tuned language model to extract expressions related to the Age-Friendly Health Systems 4M Framework (What Matters, Medication, Mentation, and Mobility) from nursing home worker text mes...
Humans Missouri Natural Language Processing Text Messaging Nursing Homes
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RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: To develop an advanced multi-task large language model (LLM) framework for extracting diverse types of information about dietary supplements (DSs) from clinical records.
Information Storage and Retrieval Large Language Models Electronic Health Records Dietary Supplements Natural Language Processing Data Mining Humans
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Utility of word embeddings from large language models in medical diagnosis.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: This study evaluates the utility of word embeddings, generated by large language models (LLMs), for medical diagnosis by comparing the semantic proximity of symptoms to their eponymic disease embedding ("eponymic condition") and the mean o...
Humans Natural Language Processing Symptom Assessment Large Language Models PubMed Semantics Tuberous Sclerosis Eponyms
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A dataset and benchmark for hospital course summarization with adapted large language models.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
OBJECTIVE: Brief hospital course (BHC) summaries are clinical documents that summarize a patient's hospital stay. While large language models (LLMs) depict remarkable capabilities in automating real-world tasks, their capabilities for healthcare appl...
Natural Language Processing Benchmarking Humans Datasets as Topic Electronic Health Records Large Language Models
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AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2025
The primary practice of healthcare artificial intelligence (AI) starts with model development, often using state-of-the-art AI, retrospectively evaluated using metrics lifted from the AI literature like AUROC and DICE score. However, good performance...
Outcome Assessment, Health Care Humans Artificial Intelligence
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