医疗保健领域的 ChatGPT 生存之道。

Frontiers in radiology Pub Date : 2024-02-23 eCollection Date: 2023-01-01 DOI:10.3389/fradi.2023.1224682
Zhengliang Liu, Lu Zhang, Zihao Wu, Xiaowei Yu, Chao Cao, Haixing Dai, Ninghao Liu, Jun Liu, Wei Liu, Quanzheng Li, Dinggang Shen, Xiang Li, Dajiang Zhu, Tianming Liu
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引用次数: 0

摘要

在人工通用智能(AGI)兴起之初,大型语言模型(如 ChatGPT)的出现为改善患者护理、扩大医疗途径和优化临床流程带来了革命性的希望。然而,将其整合到医疗保健系统中需要仔细考虑潜在的风险,例如不准确的医疗建议、侵犯患者隐私、创建伪造文件或图像、在医学教育中过度依赖 AGI 以及偏见的长期存在。关键是要实施适当的监督和监管来应对这些风险,确保将 AGI 技术安全有效地纳入医疗系统。通过认识和减轻这些挑战,可以利用 AGI 加强对病人的护理、医学知识和医疗流程,最终使整个社会受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Surviving ChatGPT in healthcare.

At the dawn of of Artificial General Intelligence (AGI), the emergence of large language models such as ChatGPT show promise in revolutionizing healthcare by improving patient care, expanding medical access, and optimizing clinical processes. However, their integration into healthcare systems requires careful consideration of potential risks, such as inaccurate medical advice, patient privacy violations, the creation of falsified documents or images, overreliance on AGI in medical education, and the perpetuation of biases. It is crucial to implement proper oversight and regulation to address these risks, ensuring the safe and effective incorporation of AGI technologies into healthcare systems. By acknowledging and mitigating these challenges, AGI can be harnessed to enhance patient care, medical knowledge, and healthcare processes, ultimately benefiting society as a whole.

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