If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The central Chinese city of Wuhan, where the coronavirus was first detected late last year, says it has tested nearly 10 million residents in an unprecedented 19-day campaign to check an entire city. The effort identified just 300 positive cases, none of whom had symptoms. None of the 1,174 people identified as close contacts of those patients was found to have the disease either, suggesting they were not spreading it easily to others. That is a potentially encouraging development because of widespread concern that infected people without symptoms could be silent spreaders of the disease. "It not only makes the people of Wuhan feel at ease, it also increases people's confidence in all of China," Feng Zijian, vice director of China's Center for Disease Control and Prevention, told state broadcaster CCTV.
As 40% of people infected with COVID-19 are asymptomatic, if a patient is imaged for an unrelated health concern and doctors can identify COVID-19, we'll be in a much better position. In addition to identifying COVID-19 by viral detection and antibody response, we can also suspect viral infection indirectly through resting heart rate. Dr. Eric Topol explained in the "AI for Healthcare Keynote" that for a flu-like illness, the resting heart rate marker allows us to predict illness throughout the country from a wearable device like a Fitbit or Apple watch. Dr. Topol states that heart rate rises before a fever is present, so even if someone doesn't get a fever or experience symptoms, we can still detect that their body is fighting a virus. "Resting heart rate, with the analytics of AI for healthcare, can predict where an outbreak is likely to happen and that's a topic that doesn't get enough respect because people just think test, test, test and they don't understand that digital surveillance with AI can be very useful," said Dr. Topol. Pulse oximetry in wearable devices can also help us detect the virus's damage to the lungs. Dr. Topol thinks that the way to get ahead of this virus is simple: equip everyone with a wearable device that has a pulse oximeter and collects resting heart rate and body temperature. "Here we are in the US spending trillions of dollars. What we should be thinking about is: what can we arm each person with, so that we can help protect them?"
For some, especially older adults and people with existing health problems, it can cause more severe illness or death. The Spokesman-Review reported that Philadelphia Macaroni Company Inc. said in a statement Friday that 72 workers were tested for COVID-19 and 24 were positive. Health officials say there was an increase in Spokane County with 31 new positive cases between Thursday and Friday. Company officials say all of the factory employees have since been tested and the facility was disinfected. The company is working with the Spokane Regional Health District to conduct contact tracing and determine further prevention measures.
Governor Northam announced that Virginians can now use COVIDCheck, a new online risk-assessment tool to check their symptoms and connect with the appropriate health care resource, including COVID-19 testing. "If you are feeling sick or think you may have been exposed to someone with COVID-19, it is important that you take action right away," said Governor Northam. "This online symptom-checking tool can help Virginians understand their personal risk for COVID-19 and get recommendations about what to do next from the safety of their homes. As we work to flatten the curve in our Commonwealth, telehealth services like this will be vital to relieving some of the strains on providers and health systems and making health care more convenient and accessible." COVIDCheck is a free, web-based, artificial intelligence-powered telehealth tool that can help individuals displaying symptoms associated with COVID-19 self-assess their risk and determine the best next steps, such as self-isolation, seeing a doctor, or seeking emergency care.
The San Francisco–based business says all of its 49,000 employees can continue working from home for the rest of the year. But as regions relax stay-at-home rules and the company reopens in phases, employees who are cleared to return will start their day by logging online for a daily wellness check. They'll be asked things like whether they're experiencing any potential symptoms of covid-19 or have been in contact with anyone infected. If they're cleared, the app will assign them a 30-minute window arrival time, designed to avoid employee bottlenecks at the elevator banks. "We realized almost right away there was a choke point, and that was the elevator," says Elizabeth Pinkham, head of global real estate at Salesforce.
We've seen AI detect different cancers, kidney illness and brain tumors. Now, researchers from Mount Sinai believe they are the first in the US to use AI, combined with imaging and clinical data, to diagnose COVID-19. In a paper published in Nature Medicine today, they explain how they used CT scans of the chest -- along with symptoms, age, bloodwork and possible contact with the virus -- to spot the coronavirus disease. "We were able to show that the AI model was as accurate as an experienced radiologist in diagnosing the disease, and even better in some cases where there was no clear sign of lung disease on CT," said one of the lead authors, Zahi Fayad, director of the BioMedical Engineering and Imaging Institute (BMEII) at the Icahn School of Medicine. The researchers note that scans don't always show lung diseases when a patient first presents symptoms and lab tests can take days to come back.
As the novel coronavirus pandemic COVID-19 continues to spread across the globe, researchers are racing against time to find possible preventive measures, tests and cures to arrest the spread. While the pandemic enters the stage of community spread in many parts of the world, countries are running short of essential medical kits to test sufficient numbers of people. Testing is the need of the hour, and to catalyse the pace of testing, scientists have now developed an artificial intelligence-based diagnostic tool. The incredible new tool can help predict if an individual is likely to have COVID-19 disease, based on the symptoms they display. The discovery was recently published in the journal Nature Medicine.
If a person starts to show symptoms of COVID-19 and they don't have medical facilities nearby, it's not advisable to travel to consult a doctor. Especially now, when medical staff are overburdened and wait times have skyrocketed. Virtual doctor's visits or telemedicine/telehealth, can replace in-person visits. Patients can connect to a hospital system, enter their symptoms and get advice from healthcare chatbots without physically visiting the facility. These services can give critical medical advice.
COVID-19 doesn't create cookie cutter infections. Some people have extremely mild cases while others find themselves fighting for their lives. Clinicians are working with limited resources against a disease that is very hard to predict. Knowing which patients are most likely to develop severe cases could help guide clinicians during this pandemic. We are two researchers at New York University that study predictive analytics and infectious diseases.
Video game addiction is real in one out of every 10 gamers and can result in mental, social and behavioural issues, according to a new study. US psychologists claim 10 per cent of gamers – a'significant minority' – play in a way that is harmful or causes negative long-term consequences. They fall into what they call a'pathological' gamer category, characterised by excessive time spend playing video games, difficultly disengaging from video games and a'disruption to healthy functioning'. In a survey of adolescents, these'pathological' gamers displayed higher levels of depression, aggression, shyness, problematic phone use and anxiety by as they entered their twenties. Researchers believe their six-year study, the longest ever study on video game addiction, suggests there should be a healthy medium when it comes to gaming, especially during the coronavirus lockdown.