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临床营养和饮食学中的人工智能:当前证据的简要概述
1Department of Nutritional Sciences, King's College London, London, UK.
概括
人工智能 (AI) 在临床营养和饮食学中提供了变革性的潜力,有助于查,预测和精确营养. 然而,道德考虑和数据偏差风险需要仔细开发和验证,以确保负责任的实施.
科学领域:
- 医疗保健技术 技术 医疗保健 技术
- 临床营养学 临床营养学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 正在迅速发展,在医疗保健领域带来了重大机遇和风险.
- 临床营养和饮食学领域正在探索人工智能应用,以改善患者护理和结果.
研究的目的:
- 探索AI在临床营养和饮食学中的当前和潜在应用.
- 确定人工智能在该领域的整合所带来的好处和风险.
- 强调道德考虑和专业责任的重要性.
主要方法:
- 在临床营养和饮食学中对AI应用的文献综述.
- 分析AI在营养不良查,结果预测,风险评估和干预支持中的作用.
- 讨论AI在精密营养和使用聊天机器人优化工作流程方面的潜力.
主要成果:
- 人工智能正在被用于营养不良查,预测疾病发病和药物相互作用,估计营养摄入量和测量血糖反应.
- 由人工智能驱动的聊天机器人正在支持临床工作流.
- 人工智能有很大的机会彻底改变临床营养,特别是在资源有限的环境中.
结论:
- 人工智能在临床营养和饮食学中的整合提供了巨大的潜力,但也带来了非人性化的风险,错误的做法和偏见的护理.
- 标准化的AI开发协议,严格的验证和保持医疗保健专业监督是至关重要的.
- 负责任的AI实施至关重要,以利用它的好处,同时减轻潜在的危害.
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