首页|Data from New York University (NYU) Langone Health Provide New Insights into Art ificial Intelligence (From Jargon To Clarity: Improving the Readability of Foot and Ankle Radiology Reports With an Artificial Intelligence Large Language Model )
Data from New York University (NYU) Langone Health Provide New Insights into Art ificial Intelligence (From Jargon To Clarity: Improving the Readability of Foot and Ankle Radiology Reports With an Artificial Intelligence Large Language Model )
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Artificial Intelligence have been published. According to news reporting originating in New York City, N ew York, by NewsRx journalists, research stated, “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. T he radiology reports from 100 foot or ankle X-Rays, 100 computed tomography (CT) scans and 100 magnetic resonance imaging (MRI) scans were randomly sampled from the institution’s database.”
NETL
NSTL
