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
Sep 30, 2015
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
Sep 23, 2015
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...
Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages.
Radiology
Dec 1, 2024
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...
AI firms must play fair when they use academic data in training.
Nature
Aug 1, 2024
Has your paper been used to train an AI model? Almost certainly.
Nature
Aug 1, 2024
AI now beats humans at basic tasks - new benchmarks are needed, says major report.
Nature
Apr 1, 2024
Embrace AI to break down barriers in publishing for people who aren't fluent in English.
Nature
Mar 1, 2024
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