Health Care Technology


Detecting Brain Lesions in Multiple Sclerosis Patients with Deep Learning

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One of the most promising applications of deep learning is image analysis (as part of computer vision), e.g. for image segmentation or classification. Whereas segmentation yields a probability distribution (also known as mask) for each class per pixel (i.e. each pixel belongs to 1 of K classes), classification does so for the whole image (i.e. each image belongs to 1 of K classes). Software solutions can be encountered nearly everywhere nowadays, for example in medical image analysis. In clinical research, where novel medications are tested, sometimes it is of interest if a drug can change the condition of a tissue, e.g. Medical images are created by imaging techniques such as medical ultrasound, X-ray, computed tomography (CT), magnetic resonance imaging (MRI), or even regular microscopes.


Argonne Team Looks to Insect Brains as Models for Computer Chip Innovation

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Scientists at the Energy Department's Argonne National Laboratory have pioneered a cutting-edge neuromorphic computer chip--modeled off the brains of bees, fruit flies and other insects--that can rapidly learn, adapt and use substantially less power than its conventional computer chip counterparts. The physicist leading an interdisciplinary team that developed the state-of-the-art design recently spoke to Nextgov about the chips' potential to advance artificial intelligence. "If we start from a biology standpoint, we use ourselves, humans, as a model for intelligent systems, of course. But there are many other branches that evolution has taken where you can sort of reach big computational power," Angel Yanguas-Gil, principal materials scientist in Argonne's Applied Materials division, said. "Insects are one of these areas."



Microsoft, Nuance Partner to Develop Ambient Clinical Intelligence to Combat Clinician Burnout -

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Today, Microsoft and Nuance Communications announced a strategic partnership to accelerate the development of Nuance's Ambient Clinical Intelligence (ACI) solution, announced at HIMSS earlier this year. Built on Microsoft Azure, the partnership will bring together the two companies' strengths in developing ambient sensing and conversational AI solutions in order to reduce the burden of clinical documentation, so doctors can focus more time on patients. Physician burnout is at epidemic levels. A recent study shows that primary care doctors now spend two hours on administrative tasks for every hour they're involved in direct patient care. Physicians reported one to two hours of after-hours work each night, mostly related to administrative tasks.


How will human augmentation affect sustainability?

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If Facebook and Elon Musk's ambitions to directly connect human brains to machines are any indication, it seems we will become increasingly dependent on smart devices. Less bombastic than this proposal, but already widespread, are more mundane forms of augmentation – neural prostheses allow brains to control replacement body parts, artificial organs can be designed to specific bodies, and embedded devices like insulin pumps can intelligently support their hosts. With this is mind, we asked six experts the following question: How will technologically augmenting humans affect sustainability? The implications of human augmentation are so complex that it is difficult to succinctly assess what their implications will be for sustainability. There are, of course, potential benefits.


The Era of the Robot Nurse MedTech Intelligence

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Healthcare and technology are two industries that have always gone hand in hand. Healthcare professionals are able to do their jobs more efficiently, effectively and safety thanks to innovations in medical technology. These days, one of the biggest emerging technology sectors in healthcare is something we've been imagining in science fiction for decades: The robot nurse. Though we're nowhere near the point of doctors and nurses being replaced by robots, these machines are now assisting nurses in managing their everyday tasks as aging populations in many countries put a strain on existing healthcare staffing. By 2021, the market is projected to hit $2.8 billion in revenue and shows every sign of growing even faster in the near future.


GE Healthcare officially launches Edison AI platform in China

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GE Healthcare officially launched the Edison AI platform in Shanghai, China at its Digital Ecosystem Forum event. GE also signed a Memorandum of Understanding (MoU) of strategic partnership with five local software development companies: Shukun Technology, Yizhun Medical AI, YITU Technology, 12Sigma Technologies and Biomind. Under the MoU, GE will cooperate with the five software vendors to develop the platform's applications in China. GE Healthcare's Edison platform was first introduced at last year's Radiological Society of North America annual meeting in Chicago in November. The platform is touted as a way to help hospitals derive more value from their technology.


Snaking Its Way into Your Heart

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Boston Children's Hospital bioengineers have developed catheter guided by artificial intelligence that can self-navigate inside a simulated beating heart. Bioengineers at Boston Children's Hospital have developed a catheter driven by artificial intelligence (AI) that can self-navigate inside a simulated beating heart. The proof-of-concept research offers the eventual promise of a significant advance in robotic surgery, given that the catheter is completely autonomous. "Robotics has been and still is investigated for the navigation of instruments such as guide wires and catheters," says Sylvain Martel, director of the NanoRobotics Laboratory of Polytechnique Montréal, a leading Canadian engineering educational and research institutions. "But what differentiates this work is the level of integration of AI to achieve full autonomy."


Protenus Uses A.I. to Secure Health Care : I95 Business

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Protenus was founded in 2014 by Nick Culbertson, CEO, and Robert Lord, Chief Strategy Officer. The two met while attending the Johns Hopkins School of Medicine during the rise of the electronic medical record. They saw firsthand the new slate of serious security and privacy concerns brought in its wake. Both had analytical backgrounds, as Lord designed and managed analytical systems for a highly successful hedge fund, while Culbertson served eight years in the U.S. Army working in human intelligence and completed his service as a highly-decorated Special Forces operator, as a Green Beret. Culbertson also has experience in biomedical research participating in a variety of studies, including synthetic biology, cellular engineering and clinical outcomes.


Microsoft, Nuance developing ambient and AI technology to tackle doctors' documentation headaches

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Tech giant Microsoft is teaming up with Nuance Communications to use technology to solve a big pain point for doctors--too much time spent on documenting and administrative tasks. The two companies are collaborating to use ambient technology combined with artificial intelligence, automation and cloud computing to create an exam room experience where the clinical documentation "writes itself," the companies said in a press release. Physician burnout continues to be a significant problem in healthcare. A recent study shows that primary care doctors now spend two hours on administrative tasks for every hour they're involved in direct patient care. Physicians reported one to two hours of after-hours work each night, mostly related to administrative tasks.