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

Showing 131 to 140 of 493 articles

Impact of high-quality, mixed-domain data on the performance of medical language models.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVE: To optimize the training strategy of large language models for medical applications, focusing on creating clinically relevant systems that efficiently integrate into healthcare settings, while ensuring high standards of accuracy and reliab...
Natural Language Processing Humans Datasets as Topic
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Evaluation of GPT-4 ability to identify and generate patient instructions for actionable incidental radiology findings.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: To evaluate the proficiency of a HIPAA-compliant version of GPT-4 in identifying actionable, incidental findings from unstructured radiology reports of Emergency Department patients. To assess appropriateness of artificial intelligence (A...
Radiology Information Systems Incidental Findings Emergency Service, Hospital Humans Electronic Health Records Artificial Intelligence
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CoRTEx: contrastive learning for representing terms via explanations with applications on constructing biomedical knowledge graphs.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: Biomedical Knowledge Graphs play a pivotal role in various biomedical research domains. Concurrently, term clustering emerges as a crucial step in constructing these knowledge graphs, aiming to identify synonymous terms. Due to a lack of ...
Biological Ontologies Unified Medical Language System Terminology as Topic Cluster Analysis Natural Language Processing Biomedical Research Machine Learning Algorithms Humans
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RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: This article aims to enhance the performance of larger language models (LLMs) on the few-shot biomedical named entity recognition (NER) task by developing a simple and effective method called Retrieving and Chain-of-Thought (RT) framework...
Information Storage and Retrieval Natural Language Processing Vocabulary, Controlled
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Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: The study developed framework that leverages an open-source Large Language Model (LLM) to enable clinicians to ask plain-language questions about a patient's entire echocardiogram report history. This approach is intended to streamline th...
Heart Diseases Electronic Health Records Information Storage and Retrieval Confidentiality Humans Echocardiography Natural Language Processing
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Large language models leverage external knowledge to extend clinical insight beyond language boundaries.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: Large Language Models (LLMs) such as ChatGPT and Med-PaLM have excelled in various medical question-answering tasks. However, these English-centric models encounter challenges in non-English clinical settings, primarily due to limited cli...
Knowledge Bases Licensure, Medical Natural Language Processing Humans China Language
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Mixed methods assessment of the influence of demographics on medical advice of ChatGPT.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: To evaluate demographic biases in diagnostic accuracy and health advice between generative artificial intelligence (AI) (ChatGPT GPT-4) and traditional symptom checkers like WebMD.
Artificial Intelligence Female Humans Demography Male Adult Sociodemographic Factors
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Large language models for biomedicine: foundations, opportunities, challenges, and best practices.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: Generative large language models (LLMs) are a subset of transformers-based neural network architecture models. LLMs have successfully leveraged a combination of an increased number of parameters, improvements in computational efficiency, ...
Medical Informatics Natural Language Processing Neural Networks, Computer Humans
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Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVE: To solve major clinical natural language processing (NLP) tasks using a unified text-to-text learning architecture based on a generative large language model (LLM) via prompt tuning.
Humans Natural Language Processing Electronic Health Records Machine Learning
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PMC-LLaMA: toward building open-source language models for medicine.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVE: Recently, large language models (LLMs) have showcased remarkable capabilities in natural language understanding. While demonstrating proficiency in everyday conversations and question-answering (QA) situations, these models frequently stru...
Natural Language Processing
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