A Comprehensive Review of Ml and Iot in Current Technologies for Remote Healthcare

Abstract

The present review analyzes the impact of new advanced technologies in the medical field. The study reveals an understanding of the fundamentals of H-IoT. Machine learning (ML) and the Internet of Things (IoT) have been effectively utilized in healthcare recently. The technology development, especially in remote healthcare, is more significant. In this work of art, review the most recent technical paradigms and cutting-edge research in the newest technologies, which are crucial for the future advancement of remote medical services and facilitated living. Initially, a quick explanation of the requirement for employing the most recent technical advancements in the field of remote health care is presented. The most significant technological advancements and concepts are then highlighted as being essential to enable remote medical care and supported living. The methods between the sensing nodes and the processors are among the fundamental enabling technologies, as are the processing algorithms used to provide an output from the sensor data. However, A number of new technologies are currently supporting these enabling technologies. Artificial intelligence (AI) utilization has significantly changed H-IoT systems on practically every level. Hereafter, a thorough analysis of current technology and potential issues with those technologies is provided.