人工智能创造个性化炼计划的潜力
Elizabeth J Enichen1, Cameron C Young1, Elizabeth P Frates1
1Harvard Medical School, Boston, MA, USA.
Health promotion practice
|December 4, 2025
概括
医疗保健提供者在运动辅导方面扎. 这项研究表明,GPT-3.5可以产生安全有效的初步运动建议,可能有助于临床医生指导患者获得更好的健康结果.
科学领域:
- 医疗信息学 医疗信息学
- 生活方式 医学 医疗
- 医疗保健中的人工智能
背景情况:
- 适度强度的运动提供了显著的健康益处和疾病预防.
- 医疗保健提供者面临的障碍包括短期访问时间和知识差距,阻碍了患者的运动辅导.
- 有效的运动建议对公共健康至关重要,但在临床实践中往往未得到充分利用.
研究的目的:
- 调查GPT-3.5在为患者生成有效的运动建议方面的有效性.
- 将人工智能产生的建议与生活方式医学专家的建议进行比较.
- 评估人工智能生成的炼计划的安全性,现实性,个性化和可访问性.
主要方法:
- 在GPT-3.5.5.中输入了30个虚构患者病例.
- GPT-3.5和两位生活方式医学专家生成了SMART运动目标和建议.
- 三位盲目审查员根据安全性,现实性,个性化,可访问性和整体质量评估了建议.
主要成果:
- 无论是GPT-3.5还是人类专家都产生了高度评价的运动建议.
- 在关键指标上,人工智能生成的建议与专家生成的建议相当.
- 在GPT-3.5和专家之间的建议质量方面没有发现显著差异.
结论:
- GPT-3.5 显示了作为一个工具来创建安全和有效的初步练习建议的潜力.
- 人工智能可以帮助医疗保健提供者克服咨询的障碍.
- 进一步的研究可能会证实AI在个性化患者运动指导中的作用.
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