Source link : https://health365.info/ai-gadget-streamlines-extraction-of-key-information-from-clinical-information/
Evaluate of the iterative pipeline growth and gold-standard set advent procedure. Credit score: npj Virtual Medication (2025). DOI: 10.1038/s41746-025-01686-z
A multidisciplinary staff at UT Southwestern Clinical Middle has evolved an AI-enabled pipeline that may briefly and appropriately extract related data from advanced, free-text clinical information. The staff’s novel manner, printed in npj Virtual Medication, may dramatically cut back the time had to create analysis-ready information for analysis research.
“Constructing highly detailed, accurate datasets from free-text medical records is extremely time-consuming, often requiring extensive manual chart review,” stated learn about first writer David Hein, M.S., Information Scientist within the Lyda Hill Division of Bioinformatics at UT Southwestern.
“Our study demonstrates one approach for creating AI-powered large language models (LLMs) that simplify the process of collecting and organizing medical data for analysis. By automating both data extraction and standardization through AI, we can make large-scale clinical research more efficient.”
To expand the pipeline, researchers used an AI-powered LLM to investigate greater than 2,200 kidney most cancers pathology experiences to guage the type’s talent to acknowledge and categorize distinct kinds of tumors.
Thru shut collaboration with AI scientists, pathologists, clinicians, and statisticians, they delicate the workflow thru…
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Publish date : 2025-07-29 13:55:00
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