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一个智能数字健康的未来,由生成预训练的变压器赋予权力
Hongyu Miao1, Chengdong Li1, Jing Wang1
1College of Nursing, Florida State University, Tallahassee, FL, United States.
Journal of medical Internet research
|September 26, 2023
概括
生成式预训练变压器 (GPT) 工具可以通过增强数字健康干预和临床护理来彻底改变医疗保健. 这项技术通过改进的沟通,分析和个性化的患者管理,承诺更智能的数字健康.
科学领域:
- 医疗保健中的人工智能
- 数字健康创新 数字健康创新
- 临床信息学 临床信息学
背景情况:
- 生产预训练变压器 (GPT) 技术迅速发展,最近的聊天机器人成功举例说明.
- GPT提供了改变医疗保健研究和实践的巨大潜力.
- 数字健康干预和临床护理是GPT整合的关键领域.
研究的目的:
- 探索将GPT技术集成到数字健康平台中.
- 突出GPT促进医疗保健的研究进展.
- 想象一个更智能的数字健康生态系统的未来.
主要方法:
- 观点论文讨论当前的研究和未来的潜力.
- 专注于GPT在集中通信,自动化分析和个性化护理方面的作用.
- 考虑在家庭和医院环境中使用各种监控设备实施GPT.
主要成果:
- 在数字健康平台上,GPT可以促进集中通信.
- 由GPT驱动的自动化分析可以获得可操作的健康见解.
- 通过GPT集成,可以实现个性化的医疗保健和即时决策.
结论:
- 现在,GPT技术已经准备好创建一个更智能的数字健康生态系统.
- 将GPT集成到数字健康平台中将增强患者护理和研究.
- 医疗保健的未来可能会涉及先进的AI驱动工具,如GPT,以改善结果.
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