在临床研究及其他领域采用生成性人工智能:机遇,挑战和解决方案
Henry P Foote1, Chuan Hong2, Mohd Anwar3
1Department of Pediatrics, Duke University, Durham, North Carolina, USA.
JACC. Advances
|February 9, 2025
概括
生成型人工智能 (AI) 在自动化和效率方面提供了临床研究机会,但在数据安全和伦理方面提出了挑战. 合作和透明度是安全整合人工智能的关键,以实现更公平的研究.
科学领域:
- 临床研究 临床研究
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 生成型人工智能 (AI) 正在迅速发展,为临床研究带来重大威胁和机遇.
- 杜克大学临床研究院召开专家会议,讨论人工智能对临床研究过程的影响.
研究的目的:
- 探索在临床研究中生成人工智能的潜在好处和风险.
- 为AI安全有效地融入临床研究工作流程制定战略.
- 通过使用人工智能来确定提高试验准确性,效率和包容性的途径.
主要方法:
- 召开了一个由来自学术界,工业界,非营利组织和政府机构的专家组成的多学科智库.
- 促进了关于生成AI在临床研究中的机遇和挑战的讨论.
- 综合了专家对导航人工智能对研究协议和结果的影响的见解.
主要成果:
- 确定了人工智能在自动化文档,增强参与者参与,提高试验准确性和效率方面的机会.
- 突出挑战包括技术障碍,道德考虑和监管不确定性.
- 强调需要严格的数据管理,安全协议和利益相关者的信任.
结论:
- 成功整合生成AI需要强大的数据治理,道德框架和透明的沟通.
- 合作和透明度对于利用人工智能来缩短翻译管道至关重要.
- 生成型人工智能有可能提高临床研究的包容性和公平性.
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