Cardiology/Vascular Diseases


New AI tool will help you sleep better

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The AI algorithms analyze the data and translate the measurements of pulse, breathing, and other factors into the major sleep stages -- light sleep, deep sleep, and REM sleep. Previous attempts to use radio waves and AI to measure sleep stages have been hampered by the extra information, not related to sleep, that confuse the AI algorithms. The team tested the sensor and algorithms on 25 healthy patients, measuring sleep stages with the aforementioned 80% accuracy. Beyond sleep application, similar combinations of sensors using radio waves monitored by AI algorithms may be used to measure and predict the decline of function in a number of other health areas.


Automated decision making shows worrying signs of limitation

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The service also uses data analysis to target fire safety advice, and has found correlations between high risks of accidental home fires and single-person households, social renting, unemployment, smoking and black and Afro-Caribbean ethnicity. The US Supreme Court recently declined to review the Wisconsin supreme court's ruling in favour of Compas' use in Loomis' case, although the Electronic Privacy Information Centre is involved in several other legal challenges it calls a lack of algorithmic transparency. In the 1990s, Rich Caruana, then a graduate student at Carnegie Mellon University, worked on training a neural net machine learning system to predict the probability of death for pneumonia patients. More recent research found this data similarly suggested that chest pain and heart disease patients were less vulnerable to pneumonia.


Artificial Intelligence in Medicine

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But today, it's a different ball game as artificial intelligence (AI) algorithms are showing promises in performing medical procedures. Similar AI algorithms have shown a level of success in other branches of medicine like pathology, ophthalmology and cardiology. Interestingly, Researchers at Google were able to train an AI to detect the spread of breast cancer into lymph node tissue on microscopic specimen images with a greater accuracy when compared to a human pathologist. Also, similar AI have shown greater successes at detecting changes in diabetes in the images of patient's retina better than human physicians.


Life-saving drones used rescue swimmers off French coast

Daily Mail

Following a successful launch in 2016, three airborne life-saver drones are being operated in the southwestern Nouvelle-Aquitaine region until September to help swimmers struggling in choppy water. A cutting-edge lifesaving initiative - the rescue drone - is taking flight again this summer off France's popular Atlantic beaches Following a successful launch in 2016, three airborne life-saver drones are being operated in the southwestern Nouvelle-Aquitaine region until September to help swimmers struggling in choppy water. At 80 kilometres an hour (50mph), the 3.9 kilogram (8.6 lbs) drone buzzes to the danger spot four minutes faster than a lifeguard and is programmed to neatly drop a life buoy to the water. At 80 kilometres an hour (50mph), the 3.9 kilogram (8.6 lbs) drone buzzes to the danger spot four minutes faster than a lifeguard A rescue drone flies during a training flight operation.


Veritas Genomics Scoops Up an AI Company to Sort Out Its *DNA*

WIRED

On August 3, sequencing company Veritas Genomics bought one of the most influential: seven-year old Curoverse. In a step forward, the company also hopes to use things like natural language processing and deep learning to help customers query their genetic data on demand. He points to a 2013 study that used polygenic testing to predict heart disease using the Framingham Heart Study data--about as good as you can get, when it comes to health data and heart disease. "They authors showed that yes, given polygenic risk score, and blood levels, and lipid levels, and family history, you can predict within 10 years if someone will develop heart disease," says Butte.


My Search for Meaningful Industrial IoT Knowledge – Daniel Yarmoluk – Medium

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As we product managers, technologists and business development professionals are looking for ways to customize solutions, products and business models for the Industrial Internet of Things, we are increasingly hungry for quality information. Most of what we read today are great forecasts of billions of connected products and how information will lead us through a "fourth industrial revolution". In other words, going from a monthly blood pressure check to continuous blood pressure monitoring and telling the patient he's having a heart attack is not enough, we must schedule and perform the surgery as well. I feel we are close to cracking the code, and my journey for valuable information lead me to a book by Dr. Timothy Chou entitled, Precision: Principles, Practices and Solutions for the Internet of Things.


Your Own Pacemaker Can Now Testify Against You In Court

WIRED

Deanna Paul (@thedeannapaul) is a former New York City prosecutor and adjunct professor of trial advocacy at Fordham University school of law. Once police learned about Compton's pacemaker, the department decided to obtain a search warrant for the data recorded on it; this would reveal his heart rate and cardiac rhythms before, during, and after the fire. Nevertheless, in court assistant prosecutor Jon Marshall argued that police have historically obtained personal information through search warrants and that doing so for a pacemaker should not be viewed differently. Deanna Paul (@thedeannapaul) is a former New York City prosecutor and adjunct professor of trial advocacy at Fordham University School of Law.


Soft Robotic Exosuit Can Help Stroke Patients

IEEE Spectrum Robotics Channel

Soft wearable robotic exosuits can help patients walk after strokes, a new study finds. However, while the rigid nature of most exoskeletons can help them provide large amounts of assistance for patients who could not otherwise walk, they may not be suitable for people who have some capacity to walk on their own, as they can restrict natural movement, Walsh says. "By providing a small amount of assistance, our soft exosuit could provide significant benefits for people who retain some ability to walk, such as most stroke survivors, and allow them to move more naturally than they could with a more rigid system," Walsh says. The scientists are now planning to see whether continued use of this soft exosuit can help stroke patients learn how to walk better without the device, Walsh says.


Artificial intelligence helps stroke patients walk again

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The research comes from the Center for Neuroprosthetics and Brain Mind Institute, School of Life Sciences, Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland. The regathers behind the development are hopeful it will lead to better outcomes for patients undergoing rehabilitation following incidences like a stroke or a spinal cord injury or strokes. READ MORE: Mayo Clinic's new startup to tackle diseases using AI Recovery plans for spinal cord injuries and strokes typically require usually many hours of supported walking, using devices like treadmills, with the walking aid pre-programmed by a medic to provide a steady pace. The new development has been described in the journal Science Translational Medicine, with the research paper headed "A multidirectional gravity-assist algorithm that enhances locomotor control in patients with stroke or spinal cord injury."


Scientists are now using Wi-Fi to read human emotions

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Scientists at MIT are using Wi-Fi and AI to determine your emotional state. Without that tether, EQ Radio can't make assumptions about your heartbeat. The AI behind EQ Radio could figure out that you're stressed and cue the music without you even knowing you needed it. There's probably a pretty sizable market for parents as well – does your current router provide real-time EKG quality information about your sleeping newborn?