Abstract This chapter presents Internet of Things (IoT)-enabled intelligent diagnostic solutions for e-healthcare. The focus of this chapter is to provide an IoT-enabled cloud-based diagnostic solution framework for various diseases, namely cataracts, cardiovascular diseases, risk of falling, and diabetes-related diseases. There is an acute shortage of healthcare management systems in rural and semiurban areas. The lack of medical experts, skilled support staff, and quality healthcare infrastructure in rural and remote areas is responsible for poor healthcare facilities in developing countries. Therefore there is a need to provide better healthcare solutions in such scenarios. To a larger extent, IoT-based healthcare solutions can overcome the problems faced due to uneven distribution of healthcare facilities. The rapid growth in IoT has remarkably enhanced the scope of remote health monitoring systems. This chapter aims to study the current and futuristic e-healthcare paradigm involving the early detection and monitoring of medical conditions of patients. Early detection of various diseases and timely medical intervention can significantly improve the healthcare situation. The development of algorithms and suitable hardware for early detection of heart diseases will be carried out in this chapter. Furthermore, attempts will be made to facilitate medical data transmission in the proposed IoT-enabled cloud-based scenario.