Abstract
Abstract Introduction Sexual dysfunctions, particularly erectile dysfunction (ED), significantly affect individuals’ quality of life. Advances in artificial intelligence (AI) provide promising tools for enhancing diagnosis and treatment in this sensitive field. By improving interactions between patients and providers, AI applications could transform approaches to sexual health, offering more precise and effective communication. Objective The aim of this study is to assess the feasibility, accuracy, and patient trust in AI tools for managing sexual dysfunctions. This involves analyzing various AI technologies such as machine learning, neural networks, and deep learning, examining their application across different types of sexual dysfunctions including erectile dysfunction and desire disorders, and evaluating their effectiveness and accuracy. Methods A systematic review was conducted, sourcing articles from the last five years using PubMed with keywords tailored to capture the intersection of AI with sexual health diagnostics and treatments. Terms used included “Artificial Intelligence,” “sexual dysfunction,” “erectile dysfunction,” “sexual health diagnosis,” “machine learning,” and “deep learning.” Articles from the last five years, in English, were included. Results Eleven studies met the inclusion criteria and were analyzed. AI tools displayed high diagnostic accuracy, with models providing in-depth analysis of ED-related queries. The accuracy of epidemiological information was consistent across evaluations. Treatment information, while generally reliable, showed variability in reproducibility and was often presented at a level too complex for the general population. Notably, AI models such as ChatGPT versions 3.5 and 4 demonstrated superior performance in clarity and depth of response compared to other tools like BARD, with statistical significance. Conclusions AI’s integration into the management of sexual dysfunctions offers significant potential to enhance both diagnostic processes and patient communications. AI-driven platforms, particularly newer models of ChatGPT, deliver accurate and repeatable results that are instrumental in addressing patient queries. Continuous improvement is essential to ensure the readability and accessibility of AI-generated content, thereby broadening its utility across diverse patient demographics. This study highlights the ongoing need for advancements in AI to align with evolving patient requirements in sexual health care. Disclosure No.
Published Version
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