Vol. 6, Issue 2, Part B (2024)

Raichur, a district in Karnataka, India, is characterized by several densely populated slum areas that face substantial healthcare challenges due to inadequate access to medical facilities and a shortage of skilled healthcare professionals. This paper investigates the potential applications of Artificial Intelligence (AI) in bridging these healthcare gaps, to enhance access to efficient and affordable medical care in these underserved regions. The study delves into various AI-driven solutions, such as automated disease diagnosis, telemedicine platforms, remote health monitoring, and predictive analytics for early outbreak detection. These innovations can supplement the limited healthcare infrastructure, streamline the diagnosis process, and provide timely medical intervention, which is crucial in densely populated, resource-constrained settings. The research further explores the feasibility of implementing AI-based systems, considering the specific socioeconomic and technological conditions of Raichur’s slums. While AI presents a promising avenue for revolutionizing healthcare delivery, significant challenges remain. These include technological barriers such as limited internet connectivity and digital literacy, ethical concerns regarding patient data privacy, and issues related to the quality and availability of healthcare data for training AI models. Addressing these challenges requires a multi-faceted approach, incorporating robust policy frameworks, community involvement, and partnerships between public and private sectors. The paper concludes with strategic recommendations to harness AI effectively for sustainable healthcare improvements in Raichur. These include investing in infrastructure to support AI technologies, training programs to enhance digital literacy among healthcare workers, and establishing clear ethical guidelines to safeguard patient data. By addressing these areas, AI can be a transformative tool in overcoming healthcare inequities and promoting better health outcomes for residents of Raichur’s slums.