From Jargon to Clarity. Improving the Readability of Foot and Ankle Radiology Reports with An Artificial Intelligence Large Language Model

From Jargon to Clarity. Improving the Readability of Foot and Ankle Radiology Reports with An Artificial Intelligence Large Language Model

Category: Other; Ankle Introduction/Purpose: The purpose of this study was to evaluate the efficacy of an Artificial Intelligence Large Language Model (AI-LLM) at improving the readability foot and ankle orthopedic radiology reports. Methods: The radiology reports from 100 foot or ankle X-Rays, 100...

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Bibliographic Details
Main Authors: James J. Butler MB BCh BAO, Michael Harrington MD, Yixuan Tong MD, Andrew Rosenbaum MD, Alan P. Samsonov BS, Raymond J. Walls MD, FRCS (Orth), MFSEM, FAAOS, John G. Kennedy MD, MCh, MMSc, FFSEM, FRCS (Orth)
Format: Article
Language:English
Published: SAGE Publishing 2024-12-01
Series:Foot & Ankle Orthopaedics
Online Access:https://doi.org/10.1177/2473011424S00301

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https://doi.org/10.1177/2473011424S00301

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