Study on early accurate diagnosis and treatment of COVID‐19 with smart phone tracking using bionics

Abstract

The replication of biological systems by mechanical and electronic devices is referred to as bionics. The bionics industry has grown along four primary application areas, in addition to hearing, vision, orthopedics, and a small, dispersed group of implants that enhance cardiac and neurological functions. The SARS‐CoV‐2 virus is the infectious disease known as coronavirus disease (COVID‐19). The virus‐infected people require assistance to better understand the situation caused by COVID‐19 and to bring some easy, efficient, and effective solutions. One of the solutions mentioned for the early stages involves wearable sensors with temperature sensors for early Covid‐19 identification and photos delivered to an AI‐enabled smartphone, robotic sensor, or robot itself. In severe situations, lung X‐ray images are captured by robotic and remote sensors, and the lungs are given the right medication to finish off the virus. The paper presents the study on the overview, applications of artificial intelligence, and deep learning from the bionics point of view. Deep learning and machine learning will be used for reducing the Covid‐19 outbreak. Wearable sensors provide important data by having temperature‐embedded sensors in several physical devices that reveal details about the environment and body that are connected. Covid‐19 probability prediction is aided by smartphones with artificial intelligence and machine learning capabilities. Case history, doctor notes, chest X‐ray reports, details on the sites of breakouts, and other criteria can help forecast the severity of Covid‐19 when it is in its severe phases and direct the administration of medication to a specific area of the lungs.