AIMC Topic: Research Report

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Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports.

Applied clinical informatics
BACKGROUND: Accumulating quantitative outcome parameters may contribute to constructing a healthcare organization in which outcomes of clinical procedures are reproducible and predictable. In imaging studies, measurements are the principal category o...

Can Natural Language Processing Improve the Efficiency of Vaccine Adverse Event Report Review?

Methods of information in medicine
BACKGROUND: Individual case review of spontaneous adverse event (AE) reports remains a cornerstone of medical product safety surveillance for industry and regulators. Previously we developed the Vaccine Adverse Event Text Miner (VaeTM) to offer autom...

RAPID: Reliable and efficient Automatic generation of submission rePortIng checklists with large language moDels.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To evaluate an automated reporting checklist generation tool using large language models and retrieval augmentation generation technology, called RAPID.

Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages.

Radiology
Background High-quality translations of radiology reports are essential for optimal patient care. Because of limited availability of human translators with medical expertise, large language models (LLMs) are a promising solution, but their ability to...