革命性临床试验:人工智能在加速医学突破中的作用
Hitesh Chopra1, Annu2, Dong K Shin2
1Department of Biosciences, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai - 602105, Tamil Nadu, India.
International journal of surgery (London, England)
|January 23, 2024
概括
人工智能 (AI) 通过自动化数据管理和分析来简化临床试验. 这种以患者为中心的方法加速了药物开发,降低了成本并提高了效率.
科学领域:
- 医学研究 医学研究
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 传统的临床试验面临着诸如数据限制,手工努力和患者监测复杂性等挑战.
- 人工智能 (AI) 为更高效,更可靠的药物开发提供解决方案.
- 人工智能集成是由医疗研究中需要简化,以患者为中心的方法所驱动的.
研究的目的:
- 探索人工智能 (AI) 如何彻底改变临床试验过程.
- 突出AI在克服传统试验挑战中的作用.
- 讨论人工智能对数据收集,生物模拟和早期疾病诊断的影响.
主要方法:
- 以人工智能为动力的工具,用于自动化数据生成和生命周期管理.
- 以患者为中心的AI,用于整合病史并确保遵守.
- 对于下游系统和自动报告的智能数据解释.
主要成果:
- 显著降低试验成本和时间表.
- 提高数据管理和分析的效率.
- 改进了药物开发研究,尽量减少重制.
- 人工智能有助于创新的数据收集,生物模拟和早期疾病诊断.
结论:
- 人工智能为快速和精简的临床试验提供了个性化和强大的解决方案.
- 人工智能集成通过更快的输出和整体效用来加速医学研究.
- 人工智能在临床试验中的未来影响对于推动药物开发至关重要.
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