Artificial Intelligence in Onco-Andrology: Applications in Fertility Preservation, Sperm Analysis and Post-Treatment Recovery
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The convergence of artificial intelligence (AI) and onco-andrology constitutes an emerging domain with significant potential to enhance reproductive outcomes in male cancer patients. Chemotherapy and radiation therapy frequently impair male fertility. Consequently, there is a critical demand for developing effective strategies aimed at the preservation and restoration of reproductive function. AI-driven tools are being integrated into clinical practice to improve decision-making in fertility preservation, automate and enhance sperm analysis post-treatment and forecast personalised recovery trajectories. This review explores the latest applications of AI in onco-andrology, highlighting advances in machine learning algorithms for personalised fertility preservation protocols, deep learning models for automated sperm quality assessment and predictive analytics to guide post-treatment fertility restoration. By harnessing the capabilities of AI, the field of onco-andrology is poised to enhance patient counselling, optimise therapeutic approaches and markedly elevate the quality of life for cancer survivors facing fertility-related challenges.
人工智能(Artificial Intelligence)与肿瘤男科学(Onco-Andrology)的交叉融合,构成了一个极具潜力的新兴研究领域,有望改善男性癌症患者的生殖结局。化疗与放疗常会损伤男性生育能力,因此亟需开发行之有效的策略,以实现生殖功能的保存与恢复。人工智能驱动的工具正逐步融入临床实践,用于优化生育保存相关的临床决策、自动化并优化治疗后的精子分析流程,以及预测个体化的生育恢复轨迹。本综述梳理了人工智能在肿瘤男科学领域的最新应用进展,重点介绍了用于个体化生育保存方案的机器学习算法、用于自动化精子质量评估的深度学习模型,以及用于指导治疗后生育功能恢复的预测分析技术。借助人工智能的技术能力,肿瘤男科学领域有望优化患者咨询服务、改进治疗方案,并显著提升面临生育相关困境的癌症幸存者的生活质量。




