artificial intelligence (AI)

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This Actually Is a Test

When it comes to health care, testing is not what it used to be, or what it is going to be in the not-too-distant future. For example, confirmation of a cancer diagnosis is getting much easier.  The New York Times reported that blood tests -- known as "liquid biopsies" -- have now been shown to generally match the results of a tumor biopsy.  The blood tests look for DNA fragments from the tumor that signal its presence.  The liquid biopsies are useful for both detecting the presence of a tumor and its ongoing monitoring. The current generation of tests are not perfect, with as many as 15% of tumors not generating enough DNA to be detected, but they do offer the advantage of not requiring an invasive procedure...

To Err Is Human, To Diagnose Artificial Intelligence is...?

A new study found that physicians have a surprisingly poor knowledge of the benefits and harms of common medical treatments.  Almost 80% overestimated the benefits, and two-thirds overestimated the harms.  And, as Aaron Carroll pointed out, it's not just that they were off, but "it's how off they often were." Anyone out there who still doesn't think artificial intelligence (AI) is needed in health care? The authors noted that previous studies have found that patients often overestimate benefits as well, but tended to minimize potential harms.  Not only do physicians overestimate harm, they "underestimate how often most treatments have no effects on patients -- either harmful or beneficial"...

Top 8 Open Source Artificial Intelligence (AI) Technologies in Machine Learning

Artificial intelligence (AI) technologies are quickly transforming almost every sphere of our lives. From how we communicate to the means we use for transportation, we seem to be getting increasingly addicted to them. Because of these rapid advancements, massive amounts of talent and resources are dedicated to accelerating the growth of the technologies. Here is a list of 8 best open source AI technologies you can use to take your machine learning projects to the next level.

Top Open Source Projects to Watch in 2017

No one has a crystal ball to see the future of technology. Even for projects developed out in the open, code alone can't tell us whether or not a project is destined for success—but there are hints along the way. For example, perhaps it's not unreasonable to assume that the projects that will help shape our future are those projects that have first seen rapid growth and popularity among the developer community. So which new projects should an open source developer watch in 2017? Let's take a look at a few projects that emerged in 2016 to achieve rapid notoriety in the GitHub community...

Using the Latest Advances in Data Science to Fight Infectious Diseases

One of the most dramatic shifts in recent years that is empowering epidemiologists to be more effective at their jobs is occurring because of improvements in data technologies. In the past, the old “relational” data model dictated that data had to be highly structured, and as a result treated in distinct silos. This made it difficult, if not impossible to analyze data from multiple sources to find correlations. Epidemiologists would have to spend many minutes or even hours on each query they ran to get results back, which is unacceptable when you need to test dozens of hypotheses to try to understand and contain a fast-moving outbreak. (Imagine how you would feel if each one of your Google searches took 45 minutes to return!) By contrast, using newer technologies, the same queries on the same hardware can run in seconds.

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VA Collaborating With Flow Health to Bring Artificial Intelligence and Precision Medicine to Veterans

Press Release | Flow Health | November 29, 2016

Flow Health today announced that it has formed a five-year partnership with the U.S. Department of Veterans Affairs (VA) to build a medical knowledge graph with deep learning to inform medical decision-making and train artificial intelligence (AI) to personalize care plans. The partnership’s fundamental objective is to understand the common elements that make certain people susceptible to particular diseases, pinpointing effective treatments and identifying possible side effects in order to inform care decisions...

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What Is Deep Learning, and Why Should You Care About It?

Whether it's Google's headline-grabbing DeepMind AlphaGo victory, or Apple's weaving of "using deep neural network technology" into iOS 10, deep learning and artificial intelligence are all the rage these days, promising to take applications to new heights in how they interact with us mere mortals. To go deeper (yes, I went there) on the subject, I reached out to the team at the deep learning-focused company Skymind, creators of Deep Learning For Java (DL4J), and authors of the recently released O'Reilly book Deep Learning: A Practitioner's Approach, Josh Patterson and Adam Gibson...

What's New in Facebook Open Source

Christine Abernathy | Facebook Open Source | July 15, 2016

With more than 1.65 billion people on Facebook and more coming online every day, our engineers are hard at work making sure that our services work smoothly for everyone. Part of this work involves streamlining our processes so we can keep moving fast as we continue to scale: We build tools that enable engineers to work more easily across platforms, automate testing to catch problems sooner, and help improve the overall performance of our products...

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When Artificial Intelligence Robots Start Replacing Physicians, Will We Notice -- Or Care?

There's an interesting verbal battle going on between two prominent tech venture capitalists over the future of AI in health care.  In an interview in Vox,  Marc Andreessen asserted that Vinod Khosla "has written all these stories about how doctors are going to go away...And I think he is completely wrong."  Mr. Khosla was quick to respond via Twitter:  "Maybe @pmarca [Mr. Andreessen] should read what I think before assuming what I said about doctors going away." He included a link to his detailed "speculations and musings" on the topic. It turns out that Mr. Khosla believes that AI will take away 80% of physicians' work, but not necessarily 80% of their jobs, leaving them more time to focus on the "human aspects of medical practice such as empathy and ethical choices"...

When It Comes to Pharmaceuticals and Medical Devices, We Should Ask More and Listen Better

A new study in JAMA suggests that nearly one-in-three drugs approved by the FDA between 2001 and 2010 had post-market safety issues, which caused safety communications to physicians and consumers, "black-box" warnings on labels, and drug withdrawals. It is not clear how many patients may have died or otherwise harmed by these issues...Lead author Joseph Ross, M.D., noted: "No drug is completely safe, and during premarket evaluation, we are not going to pick up all the safety signals," and urged "that we have a strong system in place to continually evaluate drugs and to communicate new safety concerns quickly and effectively."

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When the United Nations Calls, MicroMappers Acts

Open source and crowdsourcing—uttering these words at a meeting of the United Nations before the year 2010 would have made you persona non grata. In fact, the fastest way to discredit yourself at any humanitarian meeting just five years ago was to suggest the use of open source software and crowdsourcing in disaster response. Then, a tragic earthquake occured in Haiti in 2010, and OpenStreetMap and Ushahidi were deployed in the aftermath. Their use demonstrated the potential of free and open source crowdsourcing platforms in humanitarian contexts. Then, Typhoon Ruby in the Philippines occured five years later. What technology was used?...

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Why Google Is Suddenly Obsessed with Your Photos

Victor Luckerson | The Ringer | May 25, 2017

Google tends to throw lots of ideas at the wall, and then harvest the data from what sticks. Right now the company is feasting on photos and videos being uploaded through its surprisingly popular app Google Photos. The cloud-storage service, salvaged from the husk of the struggling social network Google+ in 2015, now has 500 million monthly active users adding 1.2 billion photos per day. It’s on a growth trajectory to ascend to the vaunted billion-user club with essential products such as YouTube, Gmail, and Chrome. No one is quite sure what Google plans to do with all of these pictures in the long run, and it’s possible the company hasn’t even figured that out...

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Why Making the Case for Interoperability Standards Is Needed

Jeff Byers | Healthcare DIVE | March 14, 2017

It's buzzy. It's the fly in the ointment for many and vendors swear it's seriously. just. about. to. gain. traction. Interoperability. Thinking about the topic is daunting itself but for those on the frontlines of care delivery and for patients, its increasingly becoming necessary as the healthcare industry enters into a more networked era. When we last checked in on interoperability, the industry was touting the massive adoption of EHRs...

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Why the A.I. Euphoria Is Doomed to Fail

Evgeny Chereshnev | Venture Beat | September 17, 2016

Investors dropped $681 million into A.I.-centric startups in Silicon Valley last year. This year, the number will likely reach $1.2 billion. Five years ago, total A.I. investment spiked at roughly $150 million. This is how Silicon Valley works: When something new is hyped and seems to have investor trust, everybody jumps on the train without asking, “Where does this train go?”...

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Why the Healthcare Industry Is Hacking Graphics Technology to Power Machine Intelligence

Raja Koduri | Computer Business Review | May 5, 2017

Artificial intelligence has attracted significant attention recently, and yet many of the most popular examples we’ve seen demonstrating its potential benefits have been esoteric proof-of-concepts, such as mastering chess or finding cat videos on the internet. While these developments have helped pave the way for further breakthroughs, they’ve also left many people asking where the tangible benefits are and what the era of machine intelligence really means to the real world...

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