前列腺癌护理的格局正在迅速发展。我们已经从使用传统成像、根治性手术和单药雄激素剥夺疗法过渡到先进成像、精确诊断、基因组学和靶向治疗选择的时代。与此同时，大型语言模型（LLM）的出现极大地改变了人工智能（AI）的范式。前列腺癌管理和人工智能进步的融合为全面回顾人工智能在前列腺癌护理中应用的现状提供了令人信服的理由。在这里，我们回顾了人工智能驱动的应用程序在前列腺癌患者从早期拦截到生存护理的整个过程中取得的进展。我们随后讨论人工智能在前列腺癌药物发现、临床试验和临床实践指南中的作用。在局部疾病环境中，深度学习模型在使用成像和病理数据检测和分级前列腺癌方面表现出令人印象深刻的性能。对于生化复发性疾病，正在测试机器学习方法，以改善风险分层和治疗决策。在晚期前列腺癌中，深度学习可以改善预后并协助临床决策。此外，法学硕士有望彻底改变信息总结和提取、临床试验设计和操作、药物开发、证据合成和临床实践指南。多模式数据集成和人类人工智能集成的协同集成正在成为释放人工智能在前列腺癌护理中全部潜力的关键策略。

The landscape of prostate cancer care has rapidly evolved. We have transitioned from the use of conventional imaging, radical surgeries, and single-agent androgen deprivation therapy to an era of advanced imaging, precision diagnostics, genomics, and targeted treatment options. Concurrently, the emergence of large language models (LLMs) has dramatically transformed the paradigm for artificial intelligence (AI). This convergence of advancements in prostate cancer management and AI provides a compelling rationale to comprehensively review the current state of AI applications in prostate cancer care. Here, we review the advancements in AI-driven applications across the continuum of the journey of a patient with prostate cancer from early interception to survivorship care. We subsequently discuss the role of AI in prostate cancer drug discovery, clinical trials, and clinical practice guidelines. In the localized disease setting, deep learning models demonstrated impressive performance in detecting and grading prostate cancer using imaging and pathology data. For biochemically recurrent diseases, machine learning approaches are being tested for improved risk stratification and treatment decisions. In advanced prostate cancer, deep learning can potentially improve prognostication and assist in clinical decision making. Furthermore, LLMs are poised to revolutionize information summarization and extraction, clinical trial design and operations, drug development, evidence synthesis, and clinical practice guidelines. Synergistic integration of multimodal data integration and human-AI integration are emerging as a key strategy to unlock the full potential of AI in prostate cancer care.