healthcare


5 Industries Machine Learning is Disrupting - Import.io

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We talk about artificial intelligence (AI), robots, and machine learning as if they're coming soon, or are just some tech pipe dream. That's not a century from now; it's not even a decade. It's just three short years away. That can either terrify you if you've seen too many sci-fi films, or excite you if you consider the upside and benefits it could yield. The reality probably lies somewhere in the middle.


How robotics, artificial intelligence can change healthcare sector

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Robotics surgeries may currently be an expensive proposition for hospitals, but robots and artificial intelligence will certainly play a major role in the healthcare sector in the future. Several startups such as DiFacto Robotics, SigTuple and Aindra are working to bring new technologies to reality in India. A group of top executives from hospital chains, investment firms and startups discussed the future of healthcare at the News Corp VCCircle Healthcare Investment Summit, held in Mumbai recently. Sign up for our daily newsletter to get our top reports & videos.


Reflecting on an imaging milestone with a look into its AI future

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How healthcare has evolved from the first clinically useful image to a library of images analyzed by AI In August 1980, a team from Scotland made a breakthrough in imaging. Setting the stage for the widespread use of MRI scans, they obtained the first clinically useful image of a patient's internal tissues. Almost 30 years later, breakthroughs in imaging are becoming the normal. While there are juxtaposed views around the potential of the technology, both skeptics and supporters know there's transformative potential. That's why one hospital system is pinpointing what's been holding AI back and developing the business model, platform and tools to ensure clinicians and patients can benefit from its potential.


The inevitability of artificial intelligence

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In its hospital complex in New York City, leading cancer center Memorial Sloane Kettering is partnering with IBM to create the medicine of the future. There, oncology specialists have been teaching Watson, a cognitive computing system probably best known for beating humans at the TV game show Jeopardy, how to interpret cancer patients' clinical information and identify personalized, evidence-based treatment options. Watson mimics the human brain, digesting terabytes of data on certain cancers. Today, it is no smarter than the cumulative knowledge of the people who feed it information or the human-produced research it absorbs. But given the exponential growth in the amount of data on cancers coming available and the machine's ability to "learn," recognize patterns, and summon information instantaneously, it may be one day.


Top 10 ways that AI will impact business in the next decade - Watson

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Key Points: – AI already impacts many aspects of our daily lives at work and at home – Over the next decade, AI enterprise software revenue will grow from $644 million to nearly $39 billion – Here are the top 10 ways that we predict AI will impact business over the next decade including vehicular object detection, predictive maintenance and intelligent recruitment. Artificial intelligence already impacts many aspects of our daily lives at work, at home and as we move about. Over the next decade, analyst firm Tractica predicts that annual Global AI enterprise software revenue will grow from $644 million in 2016 to nearly $39 billion by 2025. Services-related revenue should reach almost $150 billion. These functional areas are applicable to many use cases, industries, and generate benefits to both businesses and individuals.


Here's what it takes to make IoT data ready for AI and machine learning

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The integration of artificial intelligence and the Internet of Things introduces a wide array of connected health tools that produce a vast amount of data that must be synthesized, analyzed, stored and communicated by a robust information infrastructure. But if hospitals don't structure and store IoT patient data properly, that information could be rendered not assessable by AI tools. For starters, significant infrastructure is needed to streamline IoT-generated data to make sure it is simple to assess and manage with AI. "AI adoption and scale will be accelerated by the relatively low cost of deployment," said Rick Krohn, president of HealthSense, a connected health consulting firm. "A terabyte of storage costs less than $100, and wearable sensors and cloud infrastructure are becoming increasingly affordable. But AI requires sophisticated applications that deliver contextually aware right-place-right-time clinical decision support."


For the first time, a robot passed a medical licensing exam

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Experts generally agree that, before we might consider artificial intelligence (AI) to be truly intelligent --that is, on a level on par with human cognition-- AI agents have to pass a number of tests. And while this is still a work in progress, AIs have been busy passing other kinds of tests. Xiaoyi, an AI-powered robot in China, for example, has recently taken the national medical licensing examination and passed, making it the first robot to have done so. Not only did the robot pass the exam, it actually got a score of 456 points, which is 96 points above the required marks. This robot, developed by leading Chinese AI company iFlytek Co., Ltd., has been designed to capture and analyze patient information.


AI and the future of healthcare

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Discussed much more thoroughly in the last article AI in Banking, Artificial Intelligence (AI) is a powerful force for business. Does it have a place in Healthcare, too? In this country, healthcare is a business, even if it is full of altruistic individuals that are just seeking to help others. We thwart disease; we repair damage; we cope with aberrations in bell-curve physiology; and most importantly, we make lives better. But that doesn't work very well without a solid business foundation!


AI World 2017: An Enterprise AI Conference - DZone AI

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AI World 2017 is coming up quick! Whether you're a dev looking to hone your knowledge on the latest in machine learning or a tech exec trying to stay up to date on industry trends, this conference has something for anyone tuned into the AI space. Going on from December 11-13th at the Boston Marriot Copley in Boston, Ma, AI World describes its mission as "to enable enterprise business and technology executives to learn how to successfully harness intelligent technologies to build competitive advantage, drive new business opportunities and accelerate innovation efforts." Below, I'll briefly dive into some of the highlights of the upcoming show, giving you a glimpse into the speaker line-up as well as the different learning tracks that AI World is offering. You can find the agenda which outlines the events & corresponding times here, or if you'd like more details, then download the brochure here.


How Healthcare Providers Can Future-Proof Technology Investments

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Now that artificial intelligence is living up to the potential that future-minded commentators have touted for a long time, many healthcare providers are considering how to factor AI and big data projects into their processes to improve care and increase efficiency. However, investing in one platform or one focus area can be risky because of the pace of change. Putting millions or billions into one platform or project, which could be obsolete or fall flat in a few years is a huge risk. Nooman Haque, Managing Director for Healthcare and Life Sciences at Silicon Valley Bank believes the industry needs "runaway successes" to drive wider global adoption. The key issue for me is around workflow.