Diagnosis of Acute Diseases Using AI (RogiDoot)
Sukarna Jana, Maneesh G, Sha Aiyan Mehdi, Yash Kumar Singh, Penukonda Bharath Kumar,
CSE, Presidency University, Bangalore, Karnataka, India
Ms. Suma N G
Associate Professor, Dept. of CSE, Presidency University, Bangalore,
Karnataka, India
Abstract - Rural healthcare in India faces critical challenges due to limited infrastructure, a shortage of medical professionals, and difficulties in accessing timely diagnostics. Advancements in Artificial Intelligence (AI) and the Internet of Things (IoT) offer significant potential to bridge gaps in healthcare delivery. This paper examines the integration of AI and IoT technologies in improving healthcare accessibility, focusing on the RogiDoot app—an innovative platform aimed at enhancing healthcare services in rural areas. Drawing on recent advancements in AI-powered diagnostics, IoT-based health monitoring, and telemedicine, the study showcases how RogiDoot addresses critical challenges, including early disease detection, real-time health data tracking, and providing inclusive care with multi-language support. AI techniques such as predictive analytics and decision-support systems complement IoT's role in wearable health monitoring, enabling efficient healthcare services.By leveraging insights from case studies and prior research on AI and IoT in healthcare systems, this study demonstrates RogiDoot's potential to improve patient outcomes, reduce healthcare inequities, and create a scalable model for rural regions. This paper contributes to the growing discourse on how innovative technologies can revolutionize rural healthcare and promote equitable access to medical resources.
Key Words: Rural Healthcare, Artificial Intelligence (AI), Internet of Things (IoT), AI Diagnostics, Health Monitoring Systems, Telemedicine, Digital Healthcare Solutions, Remote Patient Monitoring, Predictive Analytics in Healthcare, IoT-Enabled Devices, Healthcare Accessibility, Multi-Language Support in Healthcare Apps, Real-Time Health Data, Early Disease Detection, Scalable Healthcare Technology
