AI-IOT: Integrating Artificial Intelligence & Internet of Things for Healthcare Systems
The paper addresses the scientific, engineering, and business opportunities for creating effective patient care biomedical systems that are appropriate for next-generation intelligent healthcare using AI-based integrated personalized IoT devices.
Abstract
AI technology has made healthcare far more efficient, usable, and available. Artificial intelligence (AI) is a present day method of developing algorithms and programs to make computers intelligent and effective at performing jobs that frequently need competent human brains. Machine learning (ML), deep learning (DL), classic neural networks, fuzzy logic, and speech recognition represent just a few of the artificial intelligence (AI) subsets with distinct characteristics and functionalities that might improve medical science performance. These cognitive technologies make it easier for humans to participate in clinical diagnostics, medical imaging, and decision- making. Around the same time period, the Internet of Medical Things (IoMT) emerged, which is a cutting-edge bio-analytical tool that integrates network-connected biomedical devices with a software program to improve human health. The paper will address this integration as AI-IoT approach. The paper addresses the scientific, engineering, and business opportunities for creating effective patient care biomedical systems that are appropriate for next-generation intelligent healthcare using AI-based integrated personalized IoT devices.