在医疗保健中生存ChatGPT
Zhengliang Liu1, Lu Zhang2, Zihao Wu1
1School of Computing, University of Georgia, Athens, GA, United States.
Frontiers in radiology
|March 11, 2024
概括
人工通用智能 (AGI) 在医疗保健中提供了变革性的潜力,但不准确的建议和偏见等风险需要谨慎管理. 适当的监督对于安全整合AGI至关重要,以改善患者护理和医疗过程.
科学领域:
- 人工智能在医学中的应用
- 医疗保健技术 技术 医疗保健 技术
- 数字健康数字健康
背景情况:
- 人工通用智能 (AGI) 的出现为医疗保健转型提供了重大机会.
- 像ChatGPT这样的大型语言模型 (LLM) 正在成为具有可能彻底改变医疗实践的关键技术.
研究的目的:
- 探索AGI在医疗保健中的潜在好处,包括增强患者护理,扩大访问和优化临床工作流.
- 识别和分析与将AGI集成到医疗保健系统相关的固有风险,例如数据隐私和准确性问题.
主要方法:
- 文献审查和对人工智能和医疗保健当前趋势的分析.
- 基于专家共识和现有研究的潜在风险和益处的定性评估.
主要成果:
- AGI集成有望改善患者的治疗结果,可访问性和运营效率.
- 确定的风险包括不准确的医疗信息,侵犯患者隐私,伪造内容的可能性,过度依赖教育和算法偏见.
结论:
- 仔细考虑和积极减轻风险是成功采用AGI在医疗保健中至关重要的.
- 实施强有力的监督和监管框架对于确保AGI技术的安全和道德部署至关重要.
- 应对挑战将使AGI能够增强医疗知识,患者护理和医疗保健系统,以造福社会.
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