将人工智能整合到癌症护理连续性的临床工作流程中:机遇和挑战
Urmila Kulkarni Kale1,2, Gorkey Vemulapalli3
1Citadel Precision Medicine India (CPMI), Hyderabad, Telangana, India.
Cancer journal (Sudbury, Mass.)
|November 18, 2025
概括
人工智能 (AI) 正在通过分析复杂的患者数据进行个性化治疗来彻底改变癌症护理. 将人工智能工具集成到临床工作流程中对于管理日益增长的癌症负担和改善患者治疗结果至关重要.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 预计到2050年,全球癌症病例将达到3500万,给医疗保健系统带来巨大压力.
- 精准医学利用多模式和多组数据进行个性化癌症治疗.
- 分析庞大而复杂的患者数据超出了人类的认知能力.
研究的目的:
- 突出人工智能 (AI) 在癌症护理中的变革性作用.
- 讨论将人工智能驱动的见解整合到临床工作流程中.
- 为解决在瘤学中采用人工智能的挑战和建议.
主要方法:
- 在癌症风险预测,诊断,预后和治疗方面对人工智能应用的审查.
- 讨论人工智能在医疗保健中重塑的数据挖掘范式.
- 强调人工智能模型的真实世界数据验证.
主要成果:
- 人工智能治疗癌症的方法正在开发,验证和批准,显示为临床整合的准备.
- 人工智能为复杂的患者数据分析提供实时,数据主导的洞察力.
- 人工智能工具可以增强临床决策.
结论:
- 到2050年,人工智能对于管理不断增长的癌症护理需求至关重要.
- 建议进一步验证人工智能模型与各种现实世界的数据进行验证.
- 将人工智能整合到癌症护理工作流程中需要解决临床,技术,监管,伦理和法律方面的挑战,以确保患者的安全和信任.
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