通过人工智能提高癌症风险意识和查管理:叙事性审查
Jiaxuan Wu1,2,3,4,5, Xiaolong Tang1,2,3,4,5, Qian Zheng1,2,3,4,5
1Department of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, Sichuan, China.
Frontiers in oncology
|December 5, 2025
概括
人工智能 (AI),包括大语言模型 (LLM),为改善早期癌症检测提供了新的途径. 这些技术增强了风险沟通,预测分析和决策支持,以获得更好的患者结果.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 癌症仍然是一个重大的全球健康挑战,需要改进早期检测和风险评估策略.
- 目前的公众意识和查方法面临局限性,强调需要创新的方法.
- 人工智能 (AI) 正在成为瘤学的变革力量,解决未满足的临床需求.
研究的目的:
- 审查人工智能应用在早期癌症检测方面的最新进展.
- 提出使用人工智能进行早期查和精确诊断的新策略.
- 探索AI如何重塑癌症预防和治疗范式.
主要方法:
- 在瘤学中对人工智能应用的文献综述.
- 分析AI在个性化风险沟通和预测分析中的作用.
- 对临床瘤学的AI驱动决策支持系统的检查.
主要成果:
- 人工智能,特别是大型语言模型 (LLM),为克服癌症查和诊断障碍提供了机会.
- 个性化风险沟通,预测分析和自动决策支持是人工智能驱动的关键进展.
- 人工智能集成有助于在癌症护理中更精确的诊断和风险评估.
结论:
- 人工智能具有显著的潜力,可以彻底改变早期癌症检测并改善患者的治疗结果.
- 利用人工智能的创新策略可以提高查计划和诊断准确度.
- 整合人工智能对于推进癌症预防,诊断和治疗策略至关重要.
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