Systematic analysis assesses AI’s impact on sexual health from 2000 to 2025, highlighting innovations and gaps.
Introduction Artificial intelligence (AI) has rapidly evolved as a transformative technology within medicine, offering new capabilities for diagnosis, treatment, risk prediction, and patient engagement. Sexual medicine and sexual health, encompassing a wide range of conditions including sexually transmitted infections (STIs), sexual dysfunction, reproductive health, and mental health, represent critical yet often underserved areas where AI holds great potential. Despite AI's growing influence in general healthcare, its application in sexual medicine remains relatively under-explored, warranting a comprehensive assessment of its development and impact over the last two decades. Objective This study aims to systematically analyze and synthesize global research trends on the role of AI in sexual medicine and sexual health from 2000 to 2025. Key objectives include identifying publication patterns over time, major contributing countries and collaborations, prevalent thematic areas where AI has been applied, and citation impact metrics to highlight influential studies. The goal is to map the scientific landscape, uncover knowledge gaps, and provide insights into future research directions. Methods A comprehensive literature search was conducted in major databases including PubMed and Google Scholar with keywords related to artificial intelligence, sexual medicine, sexual health, and machine learning. Studies published in English between 2000 and 2025 were included. After screening and eligibility assessment by multiple reviewers, relevant papers were extracted. Data on publication year, country of origin, collaborative networks, study type, focus areas within sexual health, and citation counts were systematically compiled and analyzed using quantitative bibliometrics techniques. Results The body of research on AI applications in sexual medicine and health has experienced exponential growth, culminating in 2024 with the highest number of publications to date. The United States stands as the leading contributor, followed by the United Kingdom, with significant international collaborations involving countries such as Australia, China, India, Canada, and several others across Europe, Africa, and Asia. Sexually transmitted infections (STIs) dominated the research focus, closely followed by investigations into sexual and reproductive health, sexual dysfunction, sexual behavior, and cancer-related sexual health issues. Among the 67 identified studies, systematic reviews represented the majority, supplemented by research support articles, scoping reviews, and fewer clinical trials and qualitative studies. AI methods are centered primarily around chatbots and machine learning models designed for risk prediction, diagnostics, and educational purposes. Citation patterns revealed that works addressing AI-enabled educational interventions and STI diagnostics attracted the highest academic engagement. Despite the promising advances, numerous challenges remain, including ethical considerations and clinical integration barriers, underscoring the need for ongoing multidisciplinary collaboration and rigorous evaluation to fully harness AI’s potential in sexual health care. Conclusions AI has rapidly become integral to sexual medicine and sexual health, offering innovative solutions for disease prevention, diagnosis, and health promotion. The substantial growth in research and global collaborations highlights AI's transformative potential to overcome barriers in sexual health care. Continued focused research is essential to ensure ethical application and maximize clinical benefits, firmly positioning AI as a pivotal tool for advancing sexual health worldwide. Disclosure No
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Y T Tenaw (2026) studied this question.
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