Artificial Intelligence in Onco-Andrology: Applications in Fertility Preservation, Sperm Analysis and Post-Treatment Recovery

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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Publication Details

Journal
Fertility Science and Research
Published
2025-11-26
DOI
https://doi.org/10.25259/fsr_48_2025
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Onco-Andrology: Applications in Fertility Preservation, Sperm Analysis and Post-Treatment Recovery

Bear Jenifer, T. Sriram
Fertility Science and Research
Reproductive Biology and Fertility
article

Artificial Intelligence in Onco-Andrology: Applications in Fertility Preservation, Sperm Analysis and Post-Treatment Recovery

Bear Jenifer, T. Sriram
article en

Abstract

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.

Fertility Science and ResearchVol. 12
Tamil Nadu Dr. M.G.R. Medical University (IN)
Openalex Percentile: Top 53%
Reproductive Biology and Fertility
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