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Utilization of artificial intelligence in Men’s Health: Opportunities for innovation and quality improvement

International Journal of Impotence Research (2025)Cite this article

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Abstract

Artificial intelligence (AI) is reshaping the landscape of men’s health by enhancing diagnostic accuracy, personalizing treatment strategies, and improving clinical efficiency. This narrative review explores the applications and ethical considerations of AI technologies, including machine learning, deep learning, and natural language processing, in key areas of men’s health such as fertility, erectile dysfunction, Peyronie’s disease, testosterone deficiency, and premature ejaculation. In reproductive medicine AI improves sperm morphology assessment, embryo selection, and prediction of seminal quality, offering more objective and accurate alternatives to traditional methods. For erectile dysfunction, AI supports diagnosis through advanced imaging, wearable sensors, and predictive modeling, while also contributing to drug discovery. In the context of Peyronie’s disease, AI enhances curvature assessment and three-dimensional modeling, improving diagnostic precision and surgical planning. AI also holds promise in improving the evaluation of testosterone deficiency by optimizing symptom questionnaires. Furthermore, AI-powered chatbots are emerging as accessible tools for patient education across various men’s health topics, including pre-consultation support for conditions such as premature ejaculation and vasectomy counseling. Despite AI’s advancements in men’s health, challenges remain in ensuring ethical implementation, protecting data privacy, patient autonomy, and promoting algorithm transparency. This review highlights the transformative potential of AI in the future of men’s health while emphasizing the importance of responsible integration guided by clinical validation, regulatory oversight, and adherence to ethical principles.

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Fig. 1: Artificial Intelligence Applications in Men’s Health.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. School of Engineering Medicine, Texas A&M University, Houston, TX, USA

    Haley Clark

  2. Paul L. Foster School of Medicine, Texas Tech Health Sciences Center El Paso, El Paso, TX, USA

    Nikit Venishetty

  3. Division of Urology, University of Texas Health Science Center at Houston, Houston, TX, USA

    Skyler Howell

  4. Department of Urology, Wake Forest University School of Medicine, Winston-Salem, NC, USA

    Nicholas A. Deebel

  5. Department of Urology, Houston Methodist Hospital, Houston, TX, USA

    Akhil Muthigi

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Haley Clark Writing- Original draft preparation, Data curation, Writing- Review & Editing. Nikit Venishetty: Investigation, Writing- Review & Editing Skyler Howell: Writing- Review & Editing. Nick Deebel: Review & Editing Mounasamy Software, Validation, Formal Analysis, Methodology. Akhil Muthigi: Conceptualization, Methodology, Writing- Review & Editing.

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Clark, H., Venishetty, N., Howell, S. et al. Utilization of artificial intelligence in Men’s Health: Opportunities for innovation and quality improvement. Int J Impot Res (2025). https://doi.org/10.1038/s41443-025-01112-8

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