Experiments and also studies have enriched medical science through centuries efficiently with data that has been useful for discoveries and also advancements. Even day to day, activities like taking case notes from patients and also research have been rich sources of data. But the COVID-19 pandemic has changed all this drastically. The scale of the pandemic that affected billions of people is incredible. Which overshadows even the biggest medical research programs carried across hundreds and thousands of people. The data sources have multiplied enormously and also with data flowing in from numerous sources. The widespread use of AI or Artificial Intelligence is helping to combat the virus.

Making data drive decisions with AI – Explained by Joseph F Lopresti

Data scientists are playing a critical role in combating the pandemic by creating data models. To predict and also analyze the progress of the virus by interpreting numerous data sets related to the volume, veracity, velocity, and also variety. The four Vs are a massive challenge as the data flow is enormous, coming in from across the world from many systems and also many sources. With varying degrees of accuracy and also certification. In December 2019, Wuhan, China, the epicenter of the novel coronavirus, was under the scanner of an AI platform BlueDot that detected a cluster of efficiently illness resembling pneumonia. This turned out to the ground zero for the coronavirus pandemic as the world knows today. The platform was able to understand people’s movements. And also travel patterns and allowed early researchers to understand also how the contagion spread.

Managing big data and gathering information

There is a deluge of information that practicing physicians and researchers are using to learn more about the novel coronavirus and the treatment of COVID-19 disease for which they are heavily relying on various AI tools and platforms. AI helps them to sift through a mountain of information and pick the most relevant one for making faster and better decisions. Doctors and scientists can access the COVID-19 Open Research Dataset, which is a library of 24,000 papers and growing. In hospitals, doctors and health professionals are relying on the information. Distilled from a patient’s electronic health record comprising of medical history and laboratory tests. Also, an efficiently massive amount of data generates from medical image data consisting of X-rays, MRI scans, and CT scans. All these data help doctors to make critical diagnosis and treatment decisions. Data derived from AI-powered tools detect the signals that pre-empt respiratory deterioration and cardiac arrest, which helps to save lives affected by COVID-19, says Joseph F Lopresti.

Flattening the curve by using AI

Speeding up the process of diagnosis is critical to combat the spread of the coronavirus. That depends on fast data dissemination and also analysis. China is using an AI-based smart imaging system to analyze multiple CT scan images of a patient and also observe the changes in lesions. It can do thousands of screenings much faster with greater consistency than humans can. This resulted in efficiently faster detection of thousands of cases that prevented the spread of the virus. At the airports to AI deployment efficiently helps to detect fever quickly. So that those who have a fever can go through intense screening before entering the airport.