释放潜力:生物技术和数字医学中的多式人工智能 - - 经济影响和道德挑战
Arya Bhushan1,2, Preeti Misra3
1Chembila Consulting, Nashua, NH, USA.
NPJ digital medicine
|October 20, 2025
概括
人工智能 (AI) 正通过改进药物发现和个性化医疗来改变生物技术和医疗保健. 整合多种数据的多式人工智能系统提供了增强的生物医学见解,但道德和透明度的挑战需要仔细考虑.
科学领域:
- 生物技术是生物技术.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入生物技术.
- 人工智能应用包括药物发现,基因组学,医学成像和个性化医学.
- 人工智能采用有望提高效率和降低医疗保健成本.
研究的目的:
- 审查人工智能在生物技术中的变革潜力.
- 强调多式人工智能系统在整合多种生物医学数据中的作用.
- 探索经济影响,创新驱动因素以及对利益相关者的影响.
主要方法:
- 对生物技术中人工智能应用的文献综述.
- 分析综合基因组,临床和成像数据的多式人工智能系统.
- 讨论经济影响,创新和政策影响.
主要成果:
- 人工智能加速了药物发现,基因组学,医学成像和个性化医学的进步.
- 多式人工智能系统提供更准确和整体的生物医学见解.
- 人工智能推动医疗保健领域的经济影响和创新.
结论:
- 人工智能,特别是多式联网系统,具有重大潜力,可以彻底改变生物技术和医疗保健.
- 解决数据质量,透明度和道德等挑战对于负责任的AI采用至关重要.
- 可解释的人工智能,强有力的法规和公平的实施对于有影响力的全球医疗保健解决方案是必要的.
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