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How Artificial Intelligence could help Speed COVID-19 Detection, Treatment
How Artificial Intelligence could help Speed COVID-19 Detection, Treatment

May 4, 2021

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Artificial Intelligence has the potential to enhance the role of chest imaging and leverage large-scale data to quickly find solutions for detecting, containing, and treating COVID-19. Chest imaging is not currently a standard method for diagnosing COVID-19, but the technology has helped providers exclude other possible causes for COVID-19-like symptoms, confirming a diagnosis made by another means, or providing critical data for monitoring a patient’s progress.

 

CT Scan Data

Using an algorithm trained with data and CT scans from confirmed cases of coronavirus, AI system can diagnose COVID-19 in few seconds. According to researchers, this technology has proven to be over 90 percent accurate. The AI system is programmed to differentiate between COVID-19 pneumonia, common pneumonia, and other pulmonary diseases. The AI system also detects signs of improvement by examining the reduction of white mass in the lungs.

Since March 2020, Alibaba Technology system has analyzed more than 240,000 CT image volumes. Implemented in more than 160 public institutions in China, the system has helped diagnose over 30,000 cases as well as track treatment in previously confirmed cases. During the peak of the pandemic, there was a shortage of COVID tests in Japan. This technology was used along with PCR patients to screen for COVID-19.

 

COVID-19 Detection using Raman Spectroscopy.

Researchers at the Indian Institute of Science (IISc), Bangalore, are working on rapid identification of COVID-19 biomarkers in blood plasma using Raman spectroscopy and artificial Intelligence. Raman Spectroscopy is a non-destructive chemical analysis technique that provides detailed information about chemical structure, phase and polymorphy, crystallinity, and molecular interactions. It is based upon the interaction of light with the chemical bonds within a material.

According to the team, using artificial intelligence and deep learning, the COVID-19 detection process will be automated and rapid and there will be no requirement of any extraction procedure.

 

Data Fusion

In addition to improved risk stratification, AI could enhance researchers’ understanding of the virus, leading them to better target and treat COVID-19. Investigators can use AI tools to understand the relationship between COVID-19 lung pathology and immune inflammation.

AI provides a prime opportunity for ‘data fusion’ of lung pathologic information with immunological information, especially on mapping the respective trajectories during hospitalization. In the future, AI may help identify the immunological markers most associated with poor clinical course, which may yield new targets for immune modulation in therapeutic trials.

AI has the potential to guide personalized treatments for patients with COVID-19 as well.

 

Source:

https://healthitanalytics.com/

https://www.thehindu.com/


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Nishant Kumar
Technology Enthusiast

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