Artificial intelligence has the potential to be deeply disruptive across the healthcare sector, especially in cutting down administrative waste, streamlining billing, and improving patient matching and population health management. Tech giants like Amazon, Google and Intel are leveraging their hefty AI capabilities as they move into healthcare, and providers and payers become more open to the technology. However, AI's value add in diagnostics, a realm dogged with variability, is unproven though much-hyped among investors and the public. University Hospitals Birmingham NHS researchers vetted more than 20,500 articles published between 2012 and 2019, but only ended up including 1% of them in their meta-analysis. The included studies spanned breast cancer, orthopaedic trauma, respiratory disease, cardiology, facial surgery and more. Of the 82 articles researchers looked at, only 25 validated the AI models externally by using medical images from a different population, and just 14 directly compared clinician and AI diagnostic abilities side by side.

A whole bunch of fresh info on Microsoft Flight Simulator has come up thanks to a recent preview event, and that includes some notable detail on how the game's cloud tech actually shapes the world you're flying around. In short, the answer to the obvious question is yes: you can totally seek out and fly by your house in-game. That's a pretty simple idea in concept, but making it happen requires a combination of satellite imagery – pulled from Microsoft's own Bing maps – and cloud processing – similarly built from Microsoft's Azure tech. It all works together through the process of photogrammetry, which interprets two-dimensional imagery into three-dimensional game objects. So as long as you're connected to Microsoft servers, you will find the entirety of the real world recreated in the simulator, down to the last detail.

AI is now being used to shortlist job applicants in the UK -- let's hope it's not racist IBM's AI generates high-quality voices from 5 minutes of talking Tesla's AI Chips Are Rolling Out, But They Aren't A Self-Driving Panacea Alexa's real competition is still your phone screen Machine learning to help develop self-healing robots that'feel pain' Alexa's real competition is still your phone screen AI Can Read A Cardiac MRI In 4 Seconds: Do We Still Need Human Input? We can't trust AI systems built on deep learning alone AI is now being used to shortlist job applicants in the UK -- let's hope it's not racist IBM's AI generates high-quality voices from 5 minutes of talking Tesla's AI Chips Are Rolling Out, But They Aren't A Self-Driving Panacea IBM's AI generates high-quality voices from 5 minutes of talking Amazon's Vesta no-show highlights the challenges of home robots Fiddler raises $10.2 million for AI that explains its reasoning AI is now being used to shortlist job applicants in the UK -- let's hope it's not racist Tesla's AI Chips Are Rolling Out, But They Aren't A Self-Driving Panacea Random Forests and what do they mean for you? AI is now being used to shortlist job applicants in the UK -- let's hope it's not racist Tesla's AI Chips Are Rolling Out, But They Aren't A Self-Driving Panacea AI is now being used to shortlist job applicants in the UK -- let's hope it's not racist IBM's AI generates high-quality voices from 5 minutes of talking Tesla's AI Chips Are Rolling Out, But They Aren't A Self-Driving Panacea Alexa's real competition is still your phone screen

The structural shift in the labour market can be attributed to the technological displacement of mid-skilled jobs. Data illustrates that employment growth has been greatest at the extreme ends of the spectrum (top and bottom 20 percent) whilst in-between there has been a decline, resulting in a hollowing out of jobs for the middle-tier workforce – becoming known as the'automation paradox'. According to a 2018 report by World Economic Forum, machines and algorithms in the workplace are expected to create 133 million new roles but cause 75 million jobs to be displaced by 2020. The opportunity to be had for businesses leading the charge with AI is reshaping the existing workforce to develop more data-driven skill sets and deploying talent that can engage with automated ways of working. As businesses become ever more reliant on AI, there is an increasing amount of pressure on the processes of data capture and integration.

Last year the United States Food and Drug Administration (FDA) cleared a total of 12 AI tools that use machine learning for health (ML4H) algorithms to inform medical diagnosis and treatment for patients. The tools are now allowed to be marketed, with millions of potential users in the US alone.Because ML4H tools directly affect human health, their development from experiments in labs to deployment in hospitals progresses under heavy scrutiny. A critical component of this process is reproducibility. A team of researchers from MIT, University of Toronto, New York University, and Evidation Health have proposed a number of "recommendations to data providers, academic publishers, and the ML4H research community in order to promote reproducible research moving forward" in their new paper Reproducibility in Machine Learning for Health. Just as boxers show their strength in the ring by getting up again after being knocked to the canvas, researchers test their strength in the arena of science by ensuring their work's reproducibility.

Brendan Frey's passion for genomics -- the science of analyzing and interpreting our DNA -- was ignited in 2002. When a family member was diagnosed with a genetic disorder, there wasn't enough information for doctors to evaluate the full scope of the problem, let alone fix it. "I thought we should live in a better world," Frey says. "One in which we can accurately detect and treat genetic diseases." A decade ago, the odds of that happening anytime in the foreseeable future were decidedly small.

An NETL-sponsored project is leveraging artificial intelligence in a manner that will lead to more efficient, long-lasting and reliable gas turbines to meet America's growing energy needs. As advanced energy systems move toward higher temperatures to boost efficiency and reduce emissions, monitoring their performance under such harsh conditions becomes a challenge. Existing monitoring tools for gas turbines are costly, time-consuming and complicated, involving wires and risks for damage. With funding and guidance from NETL, North Carolina-based Siemens Corp. and its partners are developing smart sensor systems that provide real-time monitoring of gas turbine components, thereby enabling condition-based maintenance and prediction of each component's remaining useful life. Siemens is achieving this by incorporating advanced sensors directly onto gas turbine blades that feature an ultra-high-temperature wireless monitoring and data transfer capability that provides accurate, real-time information up to 1,400 degrees Celsius.

Is artificial intelligence ready to take over the hiring process? After using, testing, and demo'ing nearly 30 AI staffing tools this is what we learned! Nick Shah, Founder and President of Peterson Technology Partners, presents "The Robots are Hiring!" at a emerging technology education conference held by i.c.stars in Chicago, IL. Nick shares his first-hand experience after PERSONALLY using everything from AI candidate sourcing and ranking software to chatbots and employee engagement apps. Nick's then provides best practices for companies planning to implement AI for staffing, recruiting, and human resources purposes.

Artificial Intelligence (AI) is ripe for development and investment for health information management (HIM). The major initiatives towards Interoperability and AI is just beginning in the US. The National Institute of Health has invested $1.5B into the All of Us Research Program, which invites participants across the country to share their biology, lifestyle and environment. Aggregated data sources like this one promise to enable AI technologies to improve diagnostic accuracy, clinical and operational efficiency and the overall patient experience.1 While these innovations are promising, they are also in a preliminary phase for HIM applications from an accuracy and reliability or practical use perspective.

If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA TODAY's newsroom and any business incentives. The spookiest holiday of all is just around the corner--and you're going to need more than a few pumpkins scattered around your porch to properly decorate. Halloween is on Thursday, Oct. 31, which means you've only got a few weeks to add an eerie flair to your home before hoards of trick-or-treaters arrive. From smart plugs to spider webs, we've rounded up 10 essentials you'll need to decorate for this Halloween.