在放射学中开发,采购,实施和监测人工智能工具:实际考虑. 来自ACR,CAR,ESR,RANZCR和RSNA的多社会声明
Adrian P Brady1, Bibb Allen2,3, Jaron Chong4
1University College Cork, Cork, Ireland.
Radiology. Artificial intelligence
|January 22, 2024
概括
放射学中的人工智能 (AI) 提供了革命性的潜力,但需要仔细评估. 本文讨论了在放射学实践中安全整合人工智能的实际和伦理问题.
科学领域:
- 放射学 放射学是一门学科.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 在放射学中的整合,既带来了重大机遇,也带来了潜在的风险.
- 人工智能工具的普及需要对其临床实用性和安全性进行批判性评估.
研究的目的:
- 定义与放射学中的AI相关的实际问题和伦理问题.
- 引导开发人员,监管机构和购买者实施和监测人工智能工具.
主要方法:
- 一个多社会共识声明.
- 结合了国际放射学协会的观点.
- 定义了人工智能开发和临床采用的关键考虑因素.
主要成果:
- 识别了人工智能在放射学中的潜在实际挑战和道德困境.
- 建议监测人工智能稳定性,安全性和适合自主功能的方法.
- 为负责任的AI实施提供了一个框架.
结论:
- 批判性评估和仔细考虑对于人工智能在放射学中安全有效地整合至关重要.
- 利益相关者之间的合作对于在医疗保健中应对人工智能的复杂性至关重要.
- 本声明为所有参与放射学AI开发和实施的各方提供指南.
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