人工智能 (AI) 在个性化医疗中:基于遗传和病史的AI生成个性化治疗方案:简短的沟通
Ad-Duhaa E Parekh1, Omer A Shaikh2, Simran3
1Department of Medicine, Jinnah Sindh Medical University.
Annals of medicine and surgery (2012)
|November 2, 2023
概括
人工智能 (AI) 可以通过分析患者数据来定制治疗来个性化医疗. 持续的反完善了AI的准确性,改善了医疗保健建议和临床决策.
科学领域:
- 计算生物学是一种计算生物学.
- 医疗信息学医学信息学
- 基因组学和个性化医学
背景情况:
- 个性化医学旨在根据个体基因组和分子概况定制医疗保健.
- 分析大型数据集对于开发个性化医学的定制治疗策略至关重要.
- 将人工智能 (AI) 整合到医疗保健中,需要大幅调整基础设施.
研究的目的:
- 探索人工智能在推进个性化医学的作用.
- 概述将患者数据集成到人工智能系统中的治疗建议的过程.
- 强调反循环对于提高临床决策中的AI精度的重要性.
主要方法:
- 收集全面的患者数据,包括临床信息,遗传数据和医疗笔记,经同意.
- 利用人工智能系统分析个体患者数据,以生成医疗保健建议.
- 记录和反结果和见解,以代地提高AI模型的准确性.
主要成果:
- 人工智能系统可以处理各种患者数据,以生成个性化的医疗保健建议.
- 整合人工智能有助于医疗保健专业人员在临床决策中.
- 持续的数据反提高了AI在个性化医学中的精度和有效性.
结论:
- 人工智能是推进个性化医学的有前途的工具,它可以通过数据驱动的治疗量身定制.
- 有效实施需要强大的数据基础设施和患者同意.
- 通过反进行代改进对于优化临床环境中的AI性能至关重要.
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