首页|Report Summarizes Artificial Intelligence Study Findings from University of Texa s Health Science Center (Foundation Models, Generative Ai, and Large Language Mo dels)
Report Summarizes Artificial Intelligence Study Findings from University of Texa s Health Science Center (Foundation Models, Generative Ai, and Large Language Mo dels)
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Investigators publish new report on Ar tificial Intelligence. According to news reporting out of Houston, Texas, by New sRx editors, research stated, "We are in a booming era of artificial intelligenc e, particularly with the increased availability of technologies that can help ge nerate content, such as ChatGPT. Healthcare institutions are discussing or have started utilizing these innovative technologies within their workflow." Financial support for this research came from NIH National Library of Medicine ( NLM). Our news journalists obtained a quote from the research from the University of T exas Health Science Center, "Major electronic health record vendors have begun t o leverage large language models to process and analyze vast amounts of clinical natural language text, performing a wide range of tasks in healthcare settings to help alleviate clinicians' burden. Although such technologies can be helpful in applications such as patient education, drafting responses to patient questio ns and emails, medical record summarization, and medical research facilitation, there are concerns about the tools' readiness for use within the healthcare doma in and acceptance by the current workforce. The goal of this article is to provi de nurses with an understanding of the currently available foundation models and artificial intelligence tools, enabling them to evaluate the need for such tool s and assess how they can impact current clinical practice."
HoustonTexasUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesMachine Learni ngTechnologyUniversity of Texas Health Science Center
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