Telemedicine and AI: Revolutionizing Healthcare Access Through Advanced Electronics in Rural and Underserved Regions

Telemedicine is an intriguing approach that uses telecommunication to offer medical services in rural and underserved regions in India. It facilitates interaction among providers and patients, ensuring health services are more cost-effective and readily available. Telemedicine can help advance optimal diabetes management in a variety of ways. It is employed to raise consciousness about diabetes risk variables and treatment among rural and underserved regions, track patients remotely, evaluate for diabetic glucose levels, and avert diabetes at various stages. Electronic gadgets can serve as data visualizing and decision assistance aids for insulin doses. This paper presents a remote tracking system for diabetes management, utilizing electronic medical gadgets, smartwatches, and phones. A machine learning framework was created to detect diabetes risk and facilitate diabetes management. This study attained competing accuracy, specificity, and sensitivity evaluations (83.3%, 78%, and 87.3%) using a 10-fold layered cross-validation approach. Patients can utilize various medical gadgets, including smartwatches and phones, to monitor vital variables, manage diabetes, and communicate with medical specialists. The suggested model helps healthcare practitioners make accurate choices depending on early detection and lifestyle perspectives while being discrete, cost-effective, and vendor-interoperable.