人工智能在前列腺癌护理中的应用:提高效率和结果的途径
Irbaz Bin Riaz1,2, Stephanie Harmon3, Zhijun Chen3
1Division of Hematology and Oncology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ.
概括
人工智能 (AI) 和大型语言模型 (LLM) 正在改变前列腺癌护理. 这些技术提高了早期检测,风险分层和治疗决策在前列腺癌管理的所有阶段.
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:
- 前列腺癌的治疗已经从传统方法发展到精确诊断和向治疗.
- 人工智能 (AI),特别是大型语言模型 (LLM),正在迅速发展.
- 这些领域的融合需要对人工智能在前列腺癌中的作用进行审查.
研究的目的:
- 综合审查目前在前列腺癌护理中的人工智能应用.
- 探索AI在整个患者旅程中的影响,从拦截到生存.
- 讨论AI在药物发现,临床试验和实践指南中的作用.
主要方法:
- 在前列腺癌中对人工智能驱动的应用进行审查.
- 对局部,复发和晚期疾病的深度学习和机器学习的分析.
- 检查LLM在药物开发,临床试验和证据综合方面的应用.
主要成果:
- 深度学习在从成像和病理学中检测和分类前列腺癌方面表现有前途.
- 机器学习辅助风险分层和复发性疾病的治疗决策.
- 人工智能和LLM可以改善预测,决策,药物发现和临床试验设计.
结论:
- 人工智能和LLM为彻底改变前列腺癌护理提供了巨大的潜力.
- 多式联网数据和人-人工智能集成是最大限度地发挥人工智能的好处的关键.
- 人工智能应用涵盖了前列腺癌管理的整个连续性,从早期检测到生存.
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