In what now seems a distant pre-pandemic period, excitement about the potential of artificial intelligence (AI) in healthcare was already escalating. From the academic and clinical fields to the healthcare business and entrepreneurial sectors, there was a remarkable proliferation of AI -- e.g., attention-based learning, neural networks, online-meets-offline, and the Internet of Things. The reason for all this activity is clear -- AI presents a game-changing opportunity for improving healthcare quality and safety, making care delivery more efficient, and reducing the overall cost of care. Well before COVID-19 began to challenge our healthcare system and give rise to a greater demand for AI, thought leaders were offering cautionary advice. Robert Pearl, MD, a well-known advocate for technologically advanced care delivery, recently wrote in Forbes that because technology developers tend to focus on what will sell, many heavily marketed AI applications have failed to elevate the health of the population, improve patient safety, or reduce healthcare costs.
The Defense Department is seeking to adapt artificial intelligence technology it uses to track down terrorists with drones or predict when aircraft need maintenance for a new purpose: screening and testing novel coronavirus treatments and vaccines. The Pentagon plans to boost existing programs with money Congress provided under the virus-relief CARES Act for the "development of artificial intelligence-based models to rapidly screen, prioritize, and test Food and Drug Administration approved therapeutics for new COVID-19 drug candidates." The AI funds would also be tapped for human test trials for vaccines and antibody based treatments, according to the spending plan the department submitted to congressional panels. Dick Durbin (Ill.), the Senate's No. 2 Democrat and ranking member on the Appropriations Defense Subcommittee, pressed for the plan's release. While the amount of money the Pentagon wants to use on these programs is small---close to $1 million--it shows some of the department's urgency to apply new technology to choke off the pandemic.
As the nation fights the coronavirus pandemic, Google is offering a clinically certified questionnaire for those who are searching for information pertaining to anxiety. The new feature launched by the internet giant can be a novel tool to help address mental health concerns inflicted by the pandemic. Beginning May 28, users in the U.S. now have access to clinically approved information about symptoms and treatment options alongside a clinically certified self-assessment, reported Becker's Hospital Review. Partnering with the National Alliance on Mental Illnesses, Google now displays the questionnaire with 7 questions. Though the tool won't be collecting or sharing the users' results or answers, it will let people know how their self-reported anxiety levels compare to other respondents.
Sony and Microsoft have joined together to create artificial intelligence-powered (AI) smart camera solutions to make it easier for enterprise customers to perform video analytics, the companies announced. Announced last week, the IMX500 is the world's first image sensor to contain a pixel chip and logic chip. The logic chip, called Sony's digital signal processor, is dedicated to AI signal processing, along with memory for the AI model. "Video analytics and smart cameras can drive better business insights and outcomes across a wide range of scenarios for businesses," said Takeshi Numoto, corporate vice president and commercial chief marketing officer at Microsoft. "Through this partnership, we're combining Microsoft's expertise in providing trusted, enterprise-grade AI and analytics solutions with Sony's established leadership in the imaging sensors market to help uncover new opportunities for our mutual customers and partners." Sony and Microsoft also announced that they will create a smart camera managed app powered by Azure Internet of Things (IoT) and cognitive services that it hopes to use alongside the IMX500 sensor to provide new video analytics use cases for enterprise customers.
Dr. Albert Hsiao and his colleagues at the University of California–San Diego health system had been working for 18 months on an artificial intelligence program designed to help doctors identify pneumonia on a chest X-ray. When the coronavirus hit the United States, they decided to see what it could do. The researchers quickly deployed the application, which dots X-ray images with spots of color where there may be lung damage or other signs of pneumonia. It has now been applied to more than 6,000 chest X-rays, and it's providing some value in diagnosis, said Hsiao, the director of UCSD's augmented imaging and artificial intelligence data analytics laboratory. His team is one of several around the country that has pushed AI programs developed in a calmer time into the COVID-19 crisis to perform tasks like deciding which patients face the greatest risk of complications and which can be safely channeled into lower-intensity care.
One of the foundations of the bio revolution now underway is the knowledge base was built over 13 years as scientists mapped the human genome. However, the power of that map to fuel innovation only materialized when it became cheaper and quicker to sequence DNA because of advances in computing. Today, the cost of DNA sequencing is decreasing at a rate faster than Moore's Law. In 2003, mapping the genome cost about $3 billion; by 2016, that had dropped to less than $1,000 and could be less than $100 in less than a decade. Scientists sequenced the coronavirus responsible for COVID-19 in weeks rather than the months it took to sequence the virus responsible for the original SARS epidemic.
I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today's life. I will also comment on the articles. After the COVID-19 pandemic is over and the economy reopens, many students will resume work on their careers.
As the Chinese Professional Baseball League starts its season, one team has gotten creative about "filling the stands" during the coronavirus pandemic. The Rakuten Monkeys will play games in front of robot mannequins in the audience dressed up as fans, according to the CPBL official website. "You call that a fastball? I haven't seen anything that slow since Pentium II!" You swing like your tension-amplification mechanism was sent to the wrong 3-D printer!" "C'mon, let's score some runs!
One of the challenges to curbing the spread of COVID-19 is that asymptomatic individuals, or carriers, can spread the virus before they realize they are infected. In April, researchers from West Virginia University's (WVU) Rockefeller Neuroscience Institute (RNI) and WVU Medicine set out to predict symptoms before they appear using wearable rings by Oura and AI prediction models. Now, the researchers claim their digital platform can detect COVID-19 related symptoms up to three days early with over 90 percent accuracy. The approach is neuroscience-based, and it asks participants to track stress, anxiety, memory and other psychological and cognitive biometrics in the RNI app. Oura Ring collects physiological data, like body temperature, heart rate variability, resting heart rate, respiratory rate and sleep patterns.
Recent surveys, studies, forecasts and other quantitative assessments of AI highlight the number of manufacturing jobs eliminated by robots; why robots could replace financial analysts; the very small number of organizations not evaluating or using AI today; and the debate over the usefulness of Covid-19 contact-tracing. And as data quality and diversity increase from the wearables and other internet-of-things devices, a virtuous cycle of improvements will kick in. In this world a novel coronavirus could be tracked, traced, intercepted, and cut off before it got going"--Kai-Fu Lee