人工智能在甲状腺癌护理中的应用
Nikita Pozdeyev1,2,3,4, Samantha L White1, Caitlin C Bell2
1Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
The Journal of clinical endocrinology and metabolism
|September 25, 2025
概括
人工智能 (AI) 为提高甲状腺癌诊断和管理提供了显著的潜力. 然而,广泛的临床采用需要在试验中对人工智能工具进行更高质量的独立验证.
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) 为推进甲状腺癌治疗提供了许多机会.
- 人工智能应用在甲状腺癌的诊断和管理方面正在迅速发展.
研究的目的:
- 审查AI在甲状腺癌诊断和管理中的关键应用.
- 突出有影响力的研究,并讨论AI在甲状腺癌护理中的演变.
- 为了解决当前的局限性和未来的方向,在甲状腺癌中实施AI.
主要方法:
- 使用"人工智能甲状腺癌"查询的PubMed数据库搜索到2025年5月31日.
- 根据技术创新,数据集大小和验证严格性,选择具有高影响力的出版物.
- 审查人工智能应用程序,包括超声波的计算机视觉,转移检测,数字病理学和大型语言模型.
主要成果:
- 甲状腺超声波结节评估的计算机视觉是具有显著临床潜力的首要重点.
- 人工智能在检测淋巴结转移,分析病理幻灯片和处理非结构化数据方面表现有前途.
- 目前的局限性包括缺乏前性验证,不确定的临床实用性和实施挑战.
结论:
- 人工智能有望改善甲状腺癌的诊断,降低成本,并实现个性化治疗.
- 高质量,独立的前性验证对于人工智能在甲状腺癌中的广泛临床采用至关重要.
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