人工智能在儿科放射学中的意外后果
Pierluigi Ciet1,2, Christine Eade3, Mai-Lan Ho4
1Department of Radiology and Nuclear Medicine, Erasmus MC - Sophia's Children's Hospital, Rotterdam, The Netherlands.
Pediatric radiology
|September 4, 2023
概括
放射学中的人工智能 (AI) 提供了先进的预测模型,但需要仔细考虑道德和偏见. 解决这些挑战,特别是在儿科放射学中,对于有益的AI集成至关重要.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医学伦理 医学伦理
背景情况:
- 人工智能 (AI) 在放射学中的应用越来越感兴趣.
- 数据可用性和计算能力的进步使复杂的AI模型成为可能.
- 医疗保健中的AI与风险和局限性一起带来了潜在的好处.
研究的目的:
- 提供关于人工智能伦理,偏见,局限性和放射学挑战的当前意见的概述.
- 专门解决儿童放射学中人工智能的考虑问题.
- 促进一个多学科的方法,以负责任的AI采用.
主要方法:
- 关于放射学AI的当前文学和专家意见的审查.
- 对道德考虑的分析,包括偏见和局限性.
- 专注于儿童成像中AI应用的独特方面.
主要成果:
- 人工智能模型越来越复杂,但存在固有的缺陷.
- 伦理考虑,偏见和局限性需要仔细思考.
- 在儿科患者群体中对AI需要特别注意.
结论:
- 在放射学中采用人工智能需要一个多学科的方法.
- 尽量减少伤害,确保有益影响是关键目标.
- 负责任的AI整合可以增强放射学实践,特别是在儿科.
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