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AI to battle COVID-19 Pandemic – Infinite Possibilities

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Artificial intelligence in the health service has vast potential: from virtual assistance solutions to the discovery of drugs and the diagnosis of diseases. All features that fall within can be achieved with machine learning. The whole world, at this moment, is struggling to combat the Corona Virus. Around 1.5 million people from over 200 countries have been found affected by this disease. This disease is considered the most significant pandemic of this century if you look at the impact on the global level.

It is a virus that spreads from one person to another. Though medical practitioners from all across the world are trying their best to control and fight against it, the risk of doctors getting infected is irrepressible. We have already seen hundreds of doctors losing their lives due to the virus.

Thankfully, technology allows us to replace human resources with AI at most of the places, and healthcare is one of those. Sure enough, we need doctors, but we can utilize artificial intelligence for quite many tasks. This blog speaks about all those opportunities where AI can help fight the COVID-19 pandemic while controlling further damage.

In particular, healthcare will be increasingly permeated by assistants and robot doctors.  In fact, according to Accenture, artificial intelligence applied to healthcare is a booming market that will produce a turnover of 6.6 billion dollars in 2021, with a jump compared to the 600 million dollars of 2014.

What is Artificial Intelligence in the health service?

Artificial intelligence in healthcare refers to the use of complex algorithms designed to perform specific tasks in an automated way. When researchers, doctors, and scientists enter data into computers, algorithms can review, interpret, and even suggest solutions to complex medical problems.

Artificial Intelligence to find new drugs

To date, several health and pharmaceutical firms have used Artificial Intelligence to help the drug development process. Here's the triggering fact: 9 out of 10 prescription drugs fail to attain evaluations, and many more do not meet the approval process. It means increasing expenses funding the research and production of medicines.

The good news is that Artificial Intelligence, along with Machine Learning and Big Data, has tremendous potential to reduce the investment cost of new medicines.

Artificial Intelligence as support to clinical decision

Within clinical decision support, healthcare AI can be useful in helping clinicians make smarter, quicker decisions. Time saved and diagnosed illnesses are critical in an environment where time spent, and choices will save lives for patients. Artificial intelligence is not, given all these developments, the perfect cure for solving all healthcare problems. Like every breakthrough, it poses a variety of issues that need to be carefully discussed before full integration occurs.

Some of those knots include:

  • Implementation costs
  • Missing the regulations
  • Potential technological failings
  • Some deficits

Health care is, however, an environment full of obligations and regulations. Thriving technologies such as AI bear a significantly empty regulatory past with it. This could delay patient and professional acceptance because no one wants to risk a medical negligence case. We have already dealt with these issues by addressing the importance of ethics in artificial intelligence.

Artificial intelligence to help in medical diagnostics.

You can use artificial intelligence to identify different diseases and determine treatment plans. For example, a team led by scientists at the University of California and the University of Surrey, in Gilford, UK, announced an AI platform in March 2019 that can help identify and anticipate cancer development.


This a groundbreaking study shows how, along with machine learning, the team of scientists used network analysis to examine the interconnection that occurs between groups of 38 common symptoms, frequently documented by more than 1300 patients. For example, the AI-led platform allowed the scientists' team to recognize nausea as the key symptom, putting it at the center of their analysis.

The ability of artificial intelligence to adapt and "read" from medical data offers opportunities for researchers to study and forecast the Coronavirus on a whole new level. Through cross-referencing the data generated through research agencies, pharmaceutical companies, doctors, and practitioners with back-end databases, AI will help improve the accuracy of COVID-19 diagnosis and treatment.

How on the Medical Field is Artificial Intelligence used?

Artificial intelligence in the medical field depends on the analysis and interpretation of vast amounts of data sets to support doctors:

  • Make better agreements
  • Handle patient data in an appropriate manner
  • Build tailor-made plans
  • New medicines to discover.

Voice assistants on health

Voice assistants are intelligent speakers equipped with microphones and connected in Wi-Fi, which, thanks to artificial intelligence and voice recognition, can execute orders given by users. In the health sector, they have two types of public: doctors and patients. Doctors often take notes, process data, and access patient records using programs. Data management, in controlling the time, is a vital aspect, and screen readers can be a viable solution.


From the patient's perspective, virtual assistants based on artificial intelligence can provide 24-hour assistance to a wide range of patients who might need access to care as a cheaper alternative to outpatient visits. Individuals who have chronic diseases, patients with disabilities with carers and patients living far from city centers are just a few of the people who could benefit most from virtual carers.

About the Author

With 10+ years of experience in leadership, research across the different industry verticals, Anil has helped several entrepreneurs to shape their idea into reality in the era of digitization.He is an innovative geek who has an interest in nextGen technologies such as AI/ML, Blockchain, and Data Sci...   View more...