This systematic review aims to explore the potential of artificial intelligence (AI) in
urology to address healthcare gaps in developing countries. By examining existing literature, this review seeks to provide an overview of how AI can be utilized in urological practice, particularly in resource-limited settings. A comprehensive search was conducted across major scientific databases to identify relevant studies published and were prepared to include all articles published before September ۲۰۲۴. The search strategy focused on articles that discussed the application of AI in urology, with a specific emphasis on its potential in developing countries. After screening for eligibility, a total of ۶۵ articles were included in the final analysis. The findings of this systematic review demonstrate the transformative potential of AI in
urology for developing countries. AI-powered technologies, such as machine learning algorithms and computer-aided diagnosis systems, have shown promise in improving diagnostic accuracy, predicting treatment outcomes, and facilitating surgical planning. Furthermore, AI-based telemedicine platforms have the potential to bridge the gap in access to specialized urological care in remote areas. Additionally, AI can enhance the efficiency of medical records management, enabling seamless data integration, analysis, and retrieval. AI in
urology presents a valuable opportunity to address healthcare disparities in developing countries. By leveraging AI technologies, healthcare providers in these settings can enhance diagnostic accuracy, optimize treatment planning, and improve patient outcomes. However, several challenges, including limited infrastructure and data privacy concerns, must be addressed to fully unlock the potential of AI in
urology in developing countries. Further research and investment are needed to develop and implement AI-driven solutions tailored to these settings' specific needs and resource constraints.
