ReviewInternational journal of impotence research2026
Utilization of artificial intelligence in Men's Health: Opportunities for innovation and quality improvement.
Review in International journal of impotence research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Progress in the research of artificial intelligence in andrology: a narrative review.Translational andrology and urology · 2026Review
- Global research trends in the comorbidity of erectile dysfunction and premature ejaculation: a 20-year bibliometric analysis [2005-2025].Translational andrology and urology · 2026Article
- Shaping the Future of Men's Health: How AI Could Be a Transformative Tool for Better Patient Outcomes and Provider Efficiency.Journal of medical Internet research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
40579440What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.