Developments in Artificial Intelligence (AI) have taken the world by storm. Whether for military or civilian use, the hybrid character of AI has placed it in high demand. On the one hand, the world is witnessing an AI arms race to dominate adversaries, while on the other, AI is being used to serve humanity. The widespread applications of AI in various sectors such as health, education and agriculture etc. depicts its significance in the civil sector. Since AI is invisible to the human eye, it has induced changes in how the security landscape in particular is also adopting this technology.

A team of researchers at the Indian Institute of Technology (IIT) Jodhpur has developed a covid-19 diagnosis model by implementing artificial intelligence (AI) to chest X-ray scans. While this is not the first covid-19 diagnosis technique that uses chest X-rays to detect the presence of the Sars-CoV-2 infection in lungs, the researchers claim that their AI model is'explainable', and can accurately pinpoint the affected lung areas as a result of this infection. Called Comit-Net, the diagnosis process involves an AI algorithm that has been trained on a set of chest X-ray data. This is then applied to chest scans of lungs that have been affected by covid-19. According to the researchers, the key differentiating factor behind this method is the ability to single out the affected areas of lungs, which in turn can help in more effective medical treatments.

Pioneering Artificial Intelligence (AI) technology, developed by experts at University of the West of Scotland (UWS), is capable of accurately diagnosing Covid-19 in just a few minutes. The groundbreaking programme is able to detect the virus far more quickly than a PCR test; which typically takes around 2-hours. It is hoped that the technology can eventually be used to help relieve strain on hard-pressed Accident and Emergency departments, particularly in countries where PCR tests are not readily available. The state-of-the-art technique utilizes x-ray technology, comparing scans to a database of around 3000 images, belonging to patients with Covid-19, healthy individuals and people with viral pneumonia. It then uses an AI process known as deep convolutional neural network, an algorithm typically used to analyse visual imagery, to make a diagnosis.

Covid-19 can be accurately detected by skin swabs rubbed on the face, neck or back, a study suggests. Currently, the only way to reliably detect Covid-19 is with highly-invasive swabs which go up the nose or to the back of the throat. But University of Surrey researchers say sebum -- a waxy substance made by glands in the skin -- is altered by the coronavirus and can therefore be used to detect signs of infection. Currently, the only way to reliably detect Covid-19 is with highly-invasive swabs which go up the nose or to the back of the throat. Sixty-seven hospitalised patients were recruited for the study between May and June 2020.

Scientists have created an algorithm that can accurately diagnose people with Covid-19 just by the sound of their cough. DeepCough, created by experts from the University of Essex, was built using 8,380 clinically-validated audio samples of people coughing. The samples were taken from hospitals in Spain and Mexico since April last year –2,339 who tested positive and 6,041 who tested negative for Covid-19. The researchers say the algorithm was able to detect with 98 per cent accuracy whether or not the samples were from people infected. Their algorithm would underpin an app that could herald a quicker, cheaper and less invasive way of preliminary testing for the virus, according to the experts. The two leading tests for detecting Covid-19 – antigen detection and PCR – involve swabs of bodily fluid, but the app could be rolled out for iOS and Android and potentially provide a way for people to self-diagnose.

Technology is a double-edged sword. The same transportation technologies that improved travel efficiency and brought the world closer, have ironically facilitated the record-breaking spread of Covid-19 and in a way, driven people apart. In this modern day, it is easy for a person to traverse multiple continents within 24 hours, mixing with many people along the way during journeys. In hindsight, it is evident that disease prevention and pandemic management technologies were not developed with a consideration of the potential impacts that enclosed, heavily populated and constrained transportation vehicles might facilitate the communication of disease. We are in fact, still figuring this out.

Here’s the other advantage: the AI program detects COVID in the lungs quickly; very quickly. Wehbe said the artificial intelligence can tell within seconds …

Coronavirus Latest Update: With asymptomatic people testing positive for coronavirus becoming a major cause of concern, researchers are finding a new way out to find if there are any indications in a human's cough that could detect COVID infection. Researchers have confirmed that an artificial intelligence (AI) tool that can detect if there are any indications in a human's cough that could point to a COVID infection, before seeking medical help and further testing. Also Read - Why Do Covid Patients Suffer From Fatigue, Lack of Breath For Long? Researchers at the Massachusetts Institute of Technology (MIT) are saying that artificial intelligence (AI) tool can detect covid-19 through human's cough. According to their research studies, they say that people who are asymptomatic may differ from healthy people in the way that they cough and while differences are not decipherable to the human ear, AI can detect these. Moreover, the researchers are also working to make this tool available to users as an app.

A team of researchers at the University of Minnesota (Minneapolis, MN, USA) recently developed and validated an artificial intelligence (AI) algorithm that can evaluate chest X-rays to diagnose possible cases of COVID-19. Working together with M Health Fairview and Epic, the algorithm will be available at no cost to other health systems through Epic, the medical records software used by many health care organizations across the country. When a patient arrives in the emergency department with suspected COVID-19 symptoms, clinicians order a chest X-ray as part of standard protocol. The algorithm automatically evaluates the X-ray as soon as the image is taken. If the algorithm recognizes patterns associated with COVID-19 in the chest X-ray - within seconds - the care team can see within Epic that the patient likely has the virus.

It's easy to be worried when you cough these days -- is it COVID-19, or are you just clearing your throat? You might get a clearer answer soon. MIT researchers have developed AI that can recognize forced coughing from people who have COVID-19, even if they're otherwise asymptomatic. The trick was to develop a slew of neural networks that can distinguish subtle changes indicative of the novel coronavirus' effects. One neural network detects sounds associated with vocal strength.