Artificial Intelligence (AI)

Scientists have developed an artificial intelligence (AI) tool that may accurately predict which patients newly infected with the virus that causes Covid-19 would go on to develop severe respiratory disease.

“While work remains to further validate our model, it holds promise as another AI tool for COVID-19 that can predict the patients most vulnerable to the virus, but only in support of physicians’ hard-won clinical experience in treating viral infections,” said Megan Coffee, a clinical assistant professor at New York University (NYU) in the US. Our goal was to design and deploy a decision-support tool using AI capabilities — mostly predictive analytics — to flag future clinical coronavirus severity, a clinical assistant professor at New York University. We hope that the tool, when fully developed, will be useful to physicians as they assess which moderately ill patients really need beds, and who can safely go home, with hospital resources stretched thin. For the study, it collected demographic, laboratory, and radiological findings from 53 patients as each tested positive in January for the SARS-CoV2 virus at the two Chinese hospitals.

AI tool for COVID-19 works Symptoms were typically mild to begin with, including cough, fever, and stomach upset. Age and gender not that helpful in predicting serious disease, but  past studies has found men over 60 to be at higher risk. 
 The new AI tool found that changes in three features — levels of the liver enzyme (ALT) reported myalgic, and hemoglobin levels — were most accurately predictive of subsequent, severe disease. Deep muscle aches (myalgic) were also more commonplace, and have been linked by past research to higher general inflammation in the body, they said. Higher levels of hemoglobin, the iron-containing protein that enables blood cells to carry oxygen to bodily tissues, were also linked to later respiratory distress, according to the researchers. The goal of the study was to determine whether AI techniques could help to accurately predict which patients with the virus would go on to develop Acute Respiratory Distress Syndrome (ARDS), the fluid build-up in the lungs that can be fatal in the elderly. The researchers designed computer models that make decisions based on the data fed into them, with programs getting “smarter” the more data they consider.

Along with laboratory testing, chest CT scans may be helpful to diagnose COVID-19 in individuals with a high clinical suspicion of infection. Background and aims: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role of AI as a decisive technology to analyze, prepare us for prevention and fight with COVID-19 (Coronavirus) and other pandemics. Methods: The rapid review of the literature is done on the database of Pub med, Scopus and Google Scholar using the keyword of COVID-19 or Coronavirus and Artificial Intelligence or AI. Collected the latest information regarding AI for COVID-19, then analyzed the same to identify its possible application for this disease. Results: We have identified seven significant applications of AI for COVID-19 pandemic. This technology plays an important role to detect the cluster of cases and to predict where this virus will affect in future by collecting and analyzing all previous data. Conclusions: Healthcare organizations are in an urgent need for decision-making technologies to handle this virus and help them in getting proper suggestions in real-time to avoid its spread. AI works in a proficient way to mimic like human intelligence. It may also play a vital role in understanding and suggesting the development of a vaccine for COVID-19. This result-driven technology is used for proper screening, analyzing, prediction and tracking of current patients and likely future patients. The significant applications are applied to track data of confirmed, recovered and death cases.