How AI might be the most effective weapon to detect COVID-19

How AI might be the most effective weapon to detect COVID-19

05 Jun. 20
1.13 K VIEWS

The COVID-19 pandemic raises many problems in the domain of Artificial Intelligence (AI). The major challenges are often raised by way of so many pertinent questions such as, can AI help to keep an eye on the outbreak and predict the quantum of spread? Can AI apply to assist with diagnosis and prognosis as well? Could it be utilized in a quest for proper treatment and subsequent hunt for the exact vaccine? Will it be used to govern the social factors?

There are a plethora of questions expected to be answered, and people are anxious to know everything. This blog is an effort to facilitate an honest analysis of how AI has progressed in this respect so far, and to note down limitations, weaknesses, and concerned drawbacks. The relevant research is aptly affected by the dearth of proper data and increasing conflict between imperatives on public health and data privacy issues.

To keep tabs on and predicting the future

In theory, AI can be used for monitoring and predicting how the COVID-19 disease would spread its wings over time and space. However, in December 2019, an AI-driven Health Map module at the venue of Boston Children’s Hospital (USA) triggered one of the first alarm bells that were a warning given by a scientist at the site of PMED (Program for Monitoring Emerging Diseases).

Even so, AI has not been very effective up to now for any further tracking and predictive analytics of how COVID-19 will spread. That is because of a variety of reasons. The first and foremost is that for AI to desperately need data on COVID-19 for a proper drill down.

However, a variety of exciting projects have commenced collecting and exchanging data, both existing and fresh, to train new AI applications and machine learning. Now, these projects entail the global work on the Coronavirus Disease database initiated by the World Health Organization (WHO) in terms of giving access to other related enterprises.

There is also a second opinion as to why AI has not been quite helpful in monitoring and foreseeing disease spread thus far. Not only is this a paucity of piling historical training data, but it is also an account of issues exploiting big data extracted from social media. In the recent fiasco of Google Flu Patterns, it highlighted the limitations of AI and big data in the scope of infectious diseases.

Owing to a lack of evidence, chaotic social media big data hubris, algorithmic dynamics, and outlier data, AI predictions of the outbreak of COVID-19 are still not very accurate or robust. The majority of frameworks used for monitoring and making predictions thus far do not use AI technologies. Rather, a majority of forecast modules prefer conventional epidemiological patterns.

To chase down the mushrooming of COVID-19 in real-time, a true application for the data creation dashboard has surfaced to visualize the existence of the virus. The first, and most customarily used, is that of the Center for Systems Science and Engineering (CSSE) at Johns Hopkins. The data created and made accessible through this dashboard can be found in a GitHub repository, so to say.

Attempts for diagnosis and prognosis

Besides potentially monitoring and anticipating the transmission of COVID-19, AI may also be deftly used in disease diagnosis as well as its prognosis. Actually, perhaps it is where most of the AI initiatives have been given due recognition.

Rapid and precise COVID-19 diagnosis will save innumerable human lives, restrict disease contamination, and trigger data to train AI applications. There is an increasing endeavour to educate people through AI models to use chest X-ray images to detect COVID-19.

Even though it has been confirmed that a host of Chinese health care facilities have deployed AI-driven radiology techniques, the prospects of AI are not yet converted into practice. Radiologists elsewhere have voiced alarm that not sufficient data can teach AI applications, that many of the available COVID-19 samples come from Chinese laboratories. Also, they may surely suffer from self-selection, and that the use of X-rays and CT scans may infect relevant equipment and are further prone to the spread of the disease.

It appears that relatively less effort has been made to use AI for diagnostic processes at a primary stage. For example, determining whether anyone is contaminated before it appears in CT scans or X-rays in making data-driven diagnoses with less chance of contamination.

Vaccines and treatments

A third dimension where AI may theoretically contribute to combating COVID-19 is the detection of alternative therapies and vaccines. Years before the COVID-19 outbreak, AI had been suitably admired for its ability to contribute to the development of the newer approach of antidotes.
In the scenario of COVID-19, plenty of data centres and research laboratories have already confirmed that they are trying to engage AI to find an opening in terms of the COVID-19 vaccine. The idea is that AI will speed up both the cycle of developing new drugs and the savaging existing drugs. A lot of scientists have claimed to have found repurposing drugs, to say the least.

Such medications (especially a vaccine) are unlikely to be available soon, and certainly to be of great use during the ongoing pandemic situation. The explanation is that it will take some time for the scientific and medical tests, tracking, and controls to be carried out before such vaccines are released once they are detected and tested, which might take as long a period as up to 18 months.

Social management

One of the foremost objectives for AI lies in social control and management in the campaign against the COVID-19 outbreak. It is asserted that AI application is imminent to manage the alarming spread of pandemic via the implementation of thermal imaging to scan the open realm for conceivably infected people and by supporting social distancing and lockdown metrics.

Infrared cameras are taken into consideration at airports and railway stations all over to scan throngs of people for the lookout of high temperatures. Often, they are shown with a system of facial recognition that can identify the person suffering from high temperature and whether he or she is donning a surgical mask.

So even though using AI Information to identify and treat COVID-19 is hindered by a lack of critical historical databases, there are no AI resources like robots and computer vision. Hence, in the short term, people are more expected to see this form of AI to be utilized for social control as an extra effort.

Conclusion

To summarize, AI can be a fundamental tool in fighting COVID-19 and related pandemics. The assumption is that issues related to public health will outweigh data privacy issues. There could be mission creep, with policymakers and statutory bodies maintaining their exceptional monitoring of common citizens long past the pandemic is subsided. Concerns over data privacy degradation are thus ably founded.

AI-powered Chatbots provided by Let’s Nurture proves to be a great business plan in tracking the Covid19 outbreak. If you are looking for technology service providers, we are right here to guide you through your prospects. Please feel free to contact us.

Author

Lets Nurture
Posted by Lets Nurture

Blog A directory of wonderful things

Is “Alert Fatigue” Your Biggest Cyber Threat?

According to a study done by CRITICALSTART, nearly 38% of SOCs turn off high-volume alerting features when they are inundated with alerts. The study also reported that 78% of IT …

IoT will bring a revolutionary change in emergency care

The overall market of IoT healthcare is expected to reach $534.5.3 billion by the year 2025, with the compound annual growth rate increasing by 29.6% in the next five years. …

10 most extensively used Python libraries

Python, being one of the most sought after programming languages, has a huge collection of libraries. In fact, this expansive set of libraries can be considered as one of the …

Implementation of AI in Financial Planning

AI focuses on a future where machines not only do all of the manual labour, as they have done since the industrial revolution but also the work which requires Intelligence …

How agile will transform the organization framework?

Innovation is no longer just about new technology, it is about new models of organization. The high tech breakthroughs that do count today are not only about speed and performance …

The time is now for Machine Learning

Have you heard your peers discussing Machine Learning (ML) yet have only a vague idea of what that implies? It is safe to say that you are burnt out on …

Robotics & AI: The Two Integral Parts of the UAE Healthcare Industry

According to recent reports, the Telecommunications Regulatory Authority (TRA) announced a series of contingency plans for the UAE healthcare sector to ensure the connection of hospitals and medical centers around …

Predictive Maintenance: The Next Frontier in Manufacturing

In industries where equipment failure is one of the largest causes of downtime, manufacturers must find solutions that prevent lengthy and unplanned downtimes. Why? An unplanned downtime can destroy their …

IoT in Retail – Prospects & Possibilities for Business

The Internet of Things (IoT) in its basic premise, is a network of objects, most commonly physical devices or IoT-enabled physical assets, that are connected to the internet. They can …

Technology adoption in mainstream healthcare- So close yet so far

According to a recent survey, AI powers 59% of clinical decision support in healthcare. It supports 42% in disease management as well. The future of healthcare is looking bright with …

5 Generic Diagnostic Codes & how OBD apps like KarConnect can help you to resolve it?

According to Statista, “Every year the lives of approximately 1.35 million people are cut short as a result of a road traffic crash. Between 20 and 50 million more people …

How IoT industry will revolutionize Sports Equipment Industry?

Internet of things (IoT) technology is changing the world big time. Various IoT solutions have transformed million lives personally, professionally, off the field and now on field too. Yes you …

7 Must Have Features for Your Restaurant App

Olo reports that Restaurant apps for Online food ordering and delivery services have helped restaurants and food businesses increase their basket size by 25%. The purpose of having a tailor-made …

Aspects to Consider When Developing a Mental Health Application

When it comes to modern healthcare, few fields are more in depth, complex, and largely unexplored than that of mental health. Not only are new strides being made in the …

February 2019- A Month Blended with New Beginnings, Opportunities, Success and Celebrations

The month of February always reminds of happiness, love and joy all around due to the days being celebrated, even in the Corporate world. We at Let’s Nurture, also have …

Vitals to Monitor for Your mHealthcare App Development

Due to the advancement of modern technology, patients now have more options than ever, to quickly access inexpensive diagnoses, and in turn, appropriate treatments. One such option, Mobile Health (mHealth) …

10 Fundamentals for Finding the Right Offshore Development Partner

Although it is extremely tempting to want to do everything yourself when running a business, it is just not feasible if you are trying to scale up, trying to reduce …

Pedigree for your Uber for Pets App Development

The birth of Uber brought with it a brand new business model that allowed individuals to call for on-demand transportation at the mere push of a button. The popularity of …

Healthcare App Development Shifting from Record Keeping to Advisory

When it comes to personal wellness and healthcare mobility solutions, digital devices and smartphones are radically changing and transforming the healthcare system we have become familiar with. Health and fitness …

How Smart Home concept will be a Game Changer for Real Estate in 2019

How Smart Home concept will be a Game Changer for Real Estate in 2019 When it comes to the real estate industry and specifically the housing market, introduction of Smart …

CONTACT US

Have an !dea or need help with your current business?

loading...
We use cookies to give you tailored experiences on our website.
Okay