cs.AI updates on arXiv.org 07月29日 12:21
Differentiating hype from practical applications of large language models in medicine - a primer for healthcare professionals
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文章探讨了机器学习与人工智能技术在医疗领域的应用,强调其在提高医疗服务速度和准确性方面的潜力,同时也指出大型语言模型(LLMs)在理解客观真实和隐私保护方面的风险,强调对AI在医疗领域应用的审慎态度。

arXiv:2507.19567v1 Announce Type: cross Abstract: The medical ecosystem consists of the training of new clinicians and researchers, the practice of clinical medicine, and areas of adjacent research. There are many aspects of these domains that could benefit from the application of task automation and programmatic assistance. Machine learning and artificial intelligence techniques, including large language models (LLMs), have been promised to deliver on healthcare innovation, improving care speed and accuracy, and reducing the burden on staff for manual interventions. However, LLMs have no understanding of objective truth that is based in reality. They also represent real risks to the disclosure of protected information when used by clinicians and researchers. The use of AI in medicine in general, and the deployment of LLMs in particular, therefore requires careful consideration and thoughtful application to reap the benefits of these technologies while avoiding the dangers in each context.

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人工智能 医疗领域 LLMs 隐私保护 应用风险
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