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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\u2010CoV\u20102 virus is the infectious disease known as coronavirus disease (COVID\u201019). The virus\u2010infected people require assistance to better understand the situation caused by COVID\u201019 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\u201019 identification and photos delivered to an AI\u2010enabled smartphone, robotic sensor, or robot itself. In severe situations, lung X\u2010ray 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\u201019 outbreak. Wearable sensors provide important data by having temperature\u2010embedded sensors in several physical devices that reveal details about the environment and body that are connected. Covid\u201019 probability prediction is aided by smartphones with artificial intelligence and machine learning capabilities. Case history, doctor notes, chest X\u2010ray reports, details on the sites of breakouts, and other criteria can help forecast the severity of Covid\u201019 when it is in its severe phases and direct the administration of medication to a specific area of the lungs.<\/jats:p>","DOI":"10.1002\/spy2.303","type":"journal-article","created":{"date-parts":[[2023,2,16]],"date-time":"2023-02-16T02:04:17Z","timestamp":1676513057000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Study on early accurate diagnosis and treatment of <scp>COVID<\/scp>\u201019 with smart phone tracking using bionics"],"prefix":"10.1002","volume":"6","author":[{"given":"Shweta","family":"Gupta","sequence":"first","affiliation":[{"name":"Department of Electronics &amp; Communication Engineering Jain University  Bengaluru 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