With the introduction of Artificial Intelligence (AI) technology, we are better equipped to deal with these disasters or prevent them from occurring from the start.
It’s not an ephemeral moment when people were suffering from COVID-19 and were afflicted by it. It’s been reported that people are looking for ICU rooms and oxygen tanks via Twitter, Facebook, and WhatsApp.
The epidemic also resulted in many people losing their job because of the closures that forced workers to relocate from cities home to search for jobs and food. It wasn’t just confined to India and the entire planet was affected as a result of the issue. Although the world’s economy is slowly recovering but the loss of life isn’t something to take lightly.
If we take a look back the year that passed we can see that we cannot afford another outbreak this massive. With the introduction of technology called Artificial Intelligence (AI) which is now in use and in use, we’re better prepared to handle such disasters or prevent their happening. In the event of an outbreak it is the responsibility of the government or authorities attempt to stop its spread and prevent death. The treatment for an outbreak requires quick screening, forecasting the extent of the illness, and efficiently dispersing health workers and other infrastructure, such as ICU oxygen, beds drug as well as vaccines and ICU beds.
A thorough and rapid screening is essential to identify those who are suffering from the disease and eradicate the cause, thus stopping the spread of the disease. AI tools are an essential element of the screening procedure. For instance, AI-based tools examine the sounds of cough to detect conditions like COVID-19 and tuberculosis. They can assist in treating COVID-19 patients. AI can also provide diagnostic recommendations to medical experts, speeding up the process of determining a diagnosis by, for example, finding various signs on the chest radiograph. This might indicate a specific illness.
The Central TB Division of India utilizes AI throughout the tuberculosis progression of treatment. A key initiative is the automated interpretation of an Line Probe Assay test used to determine TB. Similar tools are also available for diseases that are susceptible to epidemics in order to speed the process of getting the diagnosis and aid to stop an epidemic. Another important use of AI models to predict the control of pandemics is to predict how the illness will spread, allowing healthcare professionals be better well-prepared ahead of time.
AI models can be used to anticipate future instances of hospitalizations, infections and demands for ICU beds or oxygen levels, as well as deaths that might be triggered in a particular area. The models take into account a variety of factors, including the density of population, the distribution of age and the effectiveness of social distancing strategies. Based on these models authorities can make plans to distribute personnel and medical infrastructure such as ventilators, beds in hospitals or personal safety devices better to reduce the risk of deaths. Because separating and identifying affected patients is one of the most important elements of fighting an epidemic, a country such as India requires a large-scale trace of contact.
AI models can help automate the process through analyzing data taken from cell phones as well as other data sources, and finding new cases quickly and swiftly. In India there is a shortage of resources and the allocation and distribution of resources remain a challenge. AI models can be used to optimize supply chains, which will cut down on lead times, drastically reduce costs and enable quick distribution of resource via forecasting alternate routes. In the instance of COVID-19 governments around the world utilized these models to predict the requirement to provide medical services. AI predictive models are able to guide policies to enforce social distancing rules and help optimize distribution. Models could, for example be trained to evaluate the effectiveness of social distancing policies including school and office closures, as well as travel restrictions. Through simulation of different scenarios, the policymakers can determine which is most effective for preventing spread of illness.
AI models can speed the process of identifying treatments and create vaccines to combat the outbreak of disease by analysing the data gathered from a variety of clinical trials as well as medical documents. The theory is there is evidence that suggests the Indian government has utilized an AI-powered monitoring system from April 20, 2022 as part of the Integrated Disease Surveillance Programme (IDSP). The program comprises an Media scanning and verification cell that was established at the end of July in 2008 by National Centre for Disease Control, Delhi. It scans English and Hindi newspapers manually in order to spot potential outbreaks and issue timely alerts to local officials.
With the help of AI software The manual process of scanning newspapers could be made automated allowing to cover millions of online publications. The AI tool is able to examine newspapers across the country with 11 Indian languages as well as English to detect negative health conditions and possible outbreaks. In the Integrated Health Information Platform (IHIP) is a conjunction with WHO to aid in IDSP, reports that IDSP program, says that this AI tool is able to read 80,000 health-related news articles daily from April 2022. Additionally, it has reported up to 200 adverse health events that are based on seasonal variations, endemic diseases or outbreaks. This information is transmitted in accordance with the Media Monitoring Advisor (MSA) who is in charge of the instrument.
Once they have identified the source After identifying the source, After determining the source, MSA can then identify the events by examining the lists. When an epidemiologist has endorsed the article, it is published and an alert may be sent to local authorities in the region affected. While there could be a few issues with the use of AI in fighting pandemics, the benefits are enormous which could help save people’s lives as well as lessen the economic and social negative effects caused by the outbreak.