生成性人工智能和医疗瘤学家:要好奇,但要小心!
Silvana Quaglini1, Lucia Sacchi1, Federico Sottotetti2
1Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Italy.
Tumori
|January 9, 2026
概括
人工智能 (AI) 在瘤学中提供了潜力,但也带来了风险. 瘤学家必须谨慎地使用人工智能工具,因为人工智能幻觉可以被制造出来,需要基本的人类解释和问题制定.
科学领域:
- 医疗信息学 医疗信息学
- 在瘤学瘤学.
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 已经显著发展,影响了各种科学领域.
- 人工智能包括专家系统,机器学习和生成人工智能,每个都有独特的应用.
- 像ChatGPT这样的生成性AI技术越来越多地被跨领域采用.
研究的目的:
- 探索AI在医学中的潜在好处和固有的风险,特别关注瘤学.
- 提供人工智能发展及其当前能力的历史概述.
- 提醒医疗专业人员,特别是瘤学家,不要轻率地采用人工智能工具.
主要方法:
- 人工智能发展的历史回顾.
- 对AI类型的分析:专家系统,机器学习和生成AI.
- 讨论潜在的AI应用和瘤学中的风险.
主要成果:
- 人工智能为推进瘤学提供了巨大的潜力.
- 确定的一个关键风险是"人工智能幻觉",在这种情况下,人工智能会产生伪造但可信的信息.
- 无条件依赖人工智能可能导致误解和错误.
结论:
- 人类监督对于解释AI在瘤学中产生的反应至关重要.
- 瘤学家必须批判性地评估人工智能输出,并保持对问题制定的控制.
- 负责任的AI整合需要一种平衡的方法,利用AI的优势,同时减轻其弱点.
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