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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.
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Sriram et al. (2025) studied this question.
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