Abstract

A STUDY ON THE APPLICATION AND USE OF ARTIFICIAL INTELLIGENCE DURING COVID-19

Ms. Sonal Gupta* and Dr. Sarvesh Sharma

ABSTRACT

In this worldwide health crisis, the medical industry is looking for new technologies to monitor and controls the spread of COVID-19 (Coronavirus) pandemic. Artificial Intelligence is one among such technology which may easily track the spread of this virus, identifies the high-risk patients, and is beneficial in controlling this infection in real-time. It can also predict mortality risk by adequately analyzing the previous data of the patients. AI can help us to fight this virus by population screening, medical help, notification, and suggestions about the infection control. This technology has the potential to improve the planning, treatment and reported outcomes of the COVID-19 patient, being an evidence-based medical tool. Artificial intelligence (AI) in the field of dermatology could provide significant benefit to both patients and dermatologists alike. Not only does AI in dermatology have potential in alerting people when they may need to see a doctor (usually through the use of a smart device), it can also be used to create an educational resource for medical students, as well as a confidence boost to physicians making a differential diagnosis. The general procedure of AI and non-AI based applications that help general physicians to identify the COVID-19 symptoms. The above flow diagram informs and compares the flow of minimal non-AI treatment versus AI-based treatment. The above flow diagram explains the involvement of AI in the significant steps of treatment of high accuracy and reduces complexity and time taken. The physician is not only focused on the treatment of the patient, but also the control of disease with the AI application. Major symptoms and test analysis are done with the help of AI with the highest of accuracy. It also shows it reduces the total number of steps taken in the whole process, making more procurable in nature.

Keywords: AI, COVID-19, Technology, health care, Dermatology, detection, Global health.