What is the
Novel Coronavirus?

Novel coronavirus (CoV) is a new strain of coronavirus. The disease caused by the novel coronavirus identified first in Wuhan, China, has been given the name – coronavirus disease 2019 (COVID-19). ‘CO’ denotes corona, ‘VI’ for virus, and ‘D’ for disease. The disease was formerly referred to as ‘2019-nCoV’ or ‘2019 novel coronavirus’. The COVID-19 is related to the same family of viruses as Severe Acute Respiratory Syndrome (SARS) and some types of common cold.

How does the novel
coronavirus spread?

The virus is transmitted through direct contact with droplets of an infected person (usually via sneezing or coughing), and touching surfaces that are contaminated with the virus. The virus may survive on a surface for several hours.

Coronavirus World Map: Countries That Have the Most Cases and Deaths

Since first recorded in China late last year, COVID-19 has spread all over the world, and been declared a pandemic by the WHO.

The worldwide death toll from the novel coronavirus pandemic rose to 259,695 while the total number of infections worldwide is at 3,709,800 on 6th May 2020. Of these cases, at least 1,225,364 are now considered recovered. Many countries are testing only the most serious cases.

In the United States, now the worst-hit country, the death toll is at 71,478 with 1,210,822 infections. United Kingdom is the next most-affected country with 30,150 deaths and 202,355 confirmed infections. It is followed by Italy with 29,684 deaths and 214,457 confirmed infections and Spain with 25,613 fatalities and 219,329 confirmed infections.

Meanwhile in Asia, the spread continues, China, for the time being, seems to have passed its peak. Globally, most countries have closed offices, schools, and other institutions and many are in complete lockdown.

Symptoms of Coronavirus

The most common symptoms of COVID-19 are fever, dry cough, and tiredness. Most people recover from the disease without requiring special treatment. The disease can be serious and even fatal for older people, and those with any other long-term medical conditions (such as diabetes, asthma, or heart diseases).

However, the number of asymptomatic patients is also on the rise. At the time of writing, a total of 1,104 asymptomatic cases, including 364 imported from abroad, were under medical observation on the Chinese mainland.

Asymptomatic cases refer to people who are tested positive for the coronavirus but develop no symptoms like fever, dry cough or sore throat. A Chinese official circular said that they are infectious and pose a risk of spreading to others.

Screening of asymptomatic infections must be stepped up, targeting close contacts of confirmed patients, people involved in cluster outbreaks, those exposed to COVID-19, and travelers from areas with high risks of infections.

Our Intervention

Our objective is to leverage the synergy between AI and telehealth to institute quick monitoring of remotely collected data anytime, anywhere – saving overall costs while improving care.

Objective of deliverance
Areas of deliverance

RAD365 along with its Healthcare AI initiative – HaiLTH, aims at delivering innovation to support the basic as well as critical healthcare needs of all citizens, throughout any country, irrespective of geographical boundaries, by integrating technology & data and leverage the cloud-based informatics portfolio of Picture Archiving and Communication Systems (PACS), in combination with –

AI tool built with advanced deep learning methodology and trained using millions of images,

Advanced visualization set-up,

Data analytics,

Panel of on-call radiologists and

Workflow enhancement tools and applications.

HaiLTH’s focus areas of deliverance are as below -

Diagnosing, triaging, and monitoring COVID-19 cases from lung images – both CT Scan and X-ray

Detecting Pneumonia, Lung CA and/or TB-related abnormalities, such as scars, opacities, pleural effusions etc. in the lungs

Real-time detection of abnormalities through our unique AI engine

Identification and classification of cases based on risk levels

Optimization of worklist prioritization for urgent cases

Prediction of other anomalies linked to COVID-19

Combatting COVID-19: A Containment Plan

When it comes to infectious diseases, prevention, surveillance and rapid response play a vital role in slowing or stalling the outbreak. A pandemic such as the current coronavirus outbreak has created a huge challenge for the government and public health officials to gather information instantaneously and coordinate a response. In such a situation, smart screening processes, including those leveraging AI, can play a critical role in detecting an epidemic, building intelligence and knowledge, and augmenting clinical facilities.

Using AI to Understand Future Pandemics

Although it may be too late for AI to fully mobilize and help with this pandemic, AI can help humans weather potential pandemics in the future in the following ways:

Infection Symptoms
At infection-prone zones, laser thermometers, visual signs of coughing, fever, and breathing difficulties are visual indicators that AI can help manage, freeing up many individuals from coming in contact with those who are possibly infected.
Curing Disease and
Developing Vaccines
Deep learning, a subfield of AI, can generate new drug combinations for scientists to test. With an advanced AI algorithm in place, researchers can predict the evolution of the pandemic and add potential drugs and vaccines to see if the virus can evolve to become resistant to the new drug.
Building Knowledge
and Intelligence
AI and big data analytics have a vital role to play in modern genome sequencing procedures. High-resolution computer-generated simulation allows scientists to interpret large disease-related data sets to have a better understanding to respond far more rapidly to pandemic outbreaks.
an Epidemic
AI algorithms help mine through reports and news from around the world, helping experts recognize anomalies even before it reaches an epidemic proportion. The corona outbreak itself is a great example where researchers applied AI to study flight traveler data to predict where the novel coronavirus could have the next potential outbreak.
Chatbots for
COVID-19 diagnosis
With hospitals reeling under unprecedented levels of stress, chatbots can go a long way in helping doctors reduce the footfall they are currently experiencing. Individuals, especially those with travel history to affected regions.
Extensive teams of
paramedic trained for
handling emergency
In the process of facilitating low-dose chest x-rays from remote areas, individuals are to be trained. Others can also be trained to handle cases of patients who require immediate attention. This will have a long-term benefit as these individuals can continue playing a key role in the healthcare sector even after the pandemic is over.

AI and COVID-19: Uncovering a Potential Treatment for Coronavirus Patients

For most individuals succumbing to COVID-19, the ultimate cause of death has been pneumonia, a condition that causes inflammation and fluid accumulation in our lungs, making it difficult to breathe. Some patients develop acute respiratory distress syndrome (ARDS), a fatal condition whereby the lungs cannot supply enough oxygen to other vital organs of our body.

Pneumonia requires extended hospital stays, and, in some cases, patients are placed in intensive care units (ICU) with mechanical ventilation to help them breathe. As COVID-19 ravages more than 200 countries worldwide, there is a tremendous shortage of mechanical ventilation.

It is, thus, crucial to determine the patients who require more supportive care and those who may recover at home. This is where AI can help analyse lung imaging as part of the clinical research study to diagnose COVID-19 patients and provide a triaging method to shortlist presumptive cases which will definitely need immediate medical care.

HaiLTH’s AI tool does not simply detect patients with pneumonia or those who are possible carriers of SARS-CoV-2 but also facilitates identifying those who are asymptomatic yet are developing pneumonia. Early detection and prevention of pneumonia is crucial to saving lives and reducing the burden on healthcare systems.

Tackling COVID‑19: Contribution to a Global Effort

The benefits mentioned below will, in return, help maintain and restore economic stability, especially in times of global/national crisis while dealing with an epidemic/pandemic.

Enables radiologists to more effectively and accurately triage COVID-19 cases

Assists healthcare professionals with the early discovery of patients who, if required, can be directly sent to larger hospitals for treatment

Lessens the burden on doctors and healthcare systems with almost instantaneous detection of COVID-19 cases 24x7x365

Empowers the Government Healthcare system with real-time data to strengthen preventive analytics on COVID-19 and other lung-related abnormalities.

Enables facilitating mass-scale screening at nodal points resulting in faster detection

Makes medical care available and easily accessible to a large number of people with varying health conditions

With time, data of COVID-19 patients will be collected, leveraged and built upon by both researchers and data scientists alike to accelerate the development of highly accurate deep learning solutions of HaiLTH to detect future cases and accelerate the treatment of the patients who need it the most.