Article "Sports-concussion dilemma: Robot doctors could be the answer in rural America"
by UT Southwestern
April 7, 2017
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?
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.
Drones carrying defibrillators could save lives
Published on Jun 15, 2017
"Defibrillator drones could save lives before ambulance arrives"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.
by Sam Wong
June 13, 2017
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.
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.
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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