Miscellaneous

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Article "Sports-concussion dilemma: Robot doctors could be the answer in rural America"

by UT Southwestern
April 7, 2017

 

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The robot will see you now – AI and your health care

Published on Apr 25, 2017

Artificial intelligence is now detecting cancer and robots are doing nursing tasks. But are there risks to handing over elements of our health to machines, no matter how sophisticated?

 

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Better Medicine Through Machine Learning | Suchi Saria | TEDxBoston

Published on Oct 12, 2016

Faster medical treatment saves lives. Machine Learning is already saving lives, by scouring a multitude of patients’ data and comparing them to one patient’s health data to detect symptoms 12 to 24 hours sooner than a doctor could. "In many pressing medical problems, the answers to knowing whom to treat, when to treat, and what to treat with, might already be in your data" says Suchi Saria. Learn how TREWS (Targeted Real-time Early Warning Score) is leading the way to save lives.

Suchi Saria is a professor of computer science and health policy, and director of the Machine Learning and Health Lab at Johns Hopkins University. Her research is focused on designing data solutions for providing individualized care.

 

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"Med-Tech Planet: Mapping Medical Device Startups Across The Globe"

May 10, 2017

 

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Drones carrying defibrillators could save lives

Published on Jun 15, 2017

Only one in 10 people survives a cardiac arrest outside hospital. Doctors in Sweden are testing if drones could shave valuable minutes off emergency response times.

"Defibrillator drones could save lives before ambulance arrives"

by Sam Wong
June 13, 2017

 

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A peek under the hood of the world’s first autonomous indoor drone

Published on Jun 15, 2017

Following a successful demo at the Máxima Medical Center in the Netherlands, a team of young students at TU Eindhoven (TU/e) seem on course to develop the world’s first autonomous indoor drone – project name ‘Blue Jay Eindhoven’. The dream is to see their drone support healthcare professionals across their work. This is largely uncharted territory, both in drone technology and healthcare, and here the students and some of the drone experts championing their groundbreaking work discuss the technological challenges the project faces.

 

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Article "How to reduce Zika using flying robots"

by Patrick Meier
June 15, 2017

 

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Stanford researchers develop algorithm to diagnose heart arrhythmias

Published on Jul 6, 2017

Life-threatening heart arrhythmias can be difficult to detect but a new deep learning algorithm can evaluate each second of a heart signal and diagnose 14 types of arrhythmia with performance similar to that of cardiologists.

 

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Article "How America’s 5 Top Hospitals are Using Machine Learning Today"

by Kumba Sennaar
June 26, 2017

 

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Article "A 'scorpion-milking' robot has been developed to extract venom from the arachnids faster and more safely for use in cancer research"
Venom is usually milked manually in what can be a dangerous procedure
The robot allows for scorpion venom to be extracted safely and quickly
The new machine straps scorpions to an extractor and electrocutes them
This stimulates the arachnid's venom glands and the machine then collects the poison in special wells

by Harry Pettit
July 3, 2017

 

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Zipline: The future of healthcare logistics

Published on Jul 20, 2017

How can drones revolutionize healthcare in rural Rwanda and potentially beyond? Partnering across disciplines, UPS has helped create the world’s first drone-based medical delivery system, transporting emergency medical supplies to remote villages in Rwanda. On track to hopefully save thousands of lives a year, this scalable system could conceivably help transform how we deliver medical resources in the future as populations outgrow aging infrastructure.

 

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Article "Using machine learning to improve patient care"
New CSAIL research employs many types of medical data, including electronic health records, to predict outcomes in hospitals.

by Rachel Gordon
August 21, 2017

 

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Article "Artificial intelligence won’t replace a doctor any time soon, but it can help with diagnosis"

by Luke Oakden-Rayner
September 19, 2017

 

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Article "A Personal-Space Robot to Assist People With Social Anxiety"

by Evan Ackerman
October 3, 2017

Gifu University's Mobile Personal Space (MPS) is a robotic shell that completely encloses an individual with social anxiety

. Once you’re in there, you interact with people outside

through cameras and LCD screens.​

​

 

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Article "How Robots Are Changing the Way You See a Doctor"

by Alice Park
October 6, 2017

 

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"CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning"

by Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng

 

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"A robotic small intestine? Researchers are making one"

December 6, 2017

colorado.edu/irt/mfm

facebook.com/irtmfm

twitter.com/irt_mfm

Mark Rentschler

 

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Article "Artificial intelligence being used to detect Alzheimer’s early"

by Johanna Weidne
January 22, 2018

 

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Article "CheXNet: an in-depth review"

by Luke Oakden-Rayner
January 28, 2018

 

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How we build soft robotic hearts

Published on Feb 14, 2018

Heart In Your Hands invites you to hold a beautifully designed robotic heart beating in time with your own, or of your loved ones, to arouse a deeper appreciation and to inspire empathy toward this hidden engine of our lives.

Engineer Richard Sewell, artist Natasha Rosling and designer Helen White worked closely with biomedical engineer Dr David Nordsletten to design an intimate experience to stimulate a more fundamental understanding of cardiac mechanics and the engineers that are advancing our understanding of our hearts and heart health.

The team developed a bespoke method of building soft robotics technology to give the public the experience of what it would be like to hold their own heart beating in their hands.

In collaboration with Dr David Nordsletten and Biomedical Engineers at King’s College London, Funded by the Royal Academy of Engineering and the British Heart Foundation.