Deans' stroke musings

Changing stroke rehab and research worldwide now.Time is Brain!Just think of all the trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 493 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It's quite disgusting that this information is not available from every stroke association and doctors group.
My back ground story is here:

Tuesday, April 4, 2017

MedyMatch, Samsung add artificial intelligence to stroke diagnosis in ambulances
In its second partnership unveiled this month, MedyMatch has inked a deal to integrate its artificial intelligence-based decision-support technology with Samsung’s medical imaging machines in prehospital settings.
The pair will concentrate first on improving stroke assessment in mobile stroke units—emergency vehicles equipped with diagnostic CT imaging—that use a Samsung NeuroLogica CereTom CT scanner, MedyMatch said in a statement.
The earlier an ischemic stroke, caused by a blood clot blocking an artery, is caught and treated, the better. But it can take an hour after a patient arrives in the emergency department to determine what kind of stroke he or she has, MedyMatch said. Quickly determining if the patient has an ischemic stroke or a hemorrhagic stroke—caused by the rupture of a blood vessel leading to bleeding in the brain—is key.
“Technology that can assist the physicians in recognizing brain bleeds more quickly, will lead to faster decision making for the patient and better outcomes,” said Peter Rasmussen, M.D., medical director of Cleveland Clinic’s Distance Health Program, in the statement. “Emergency treatment is needed to recognize and treat brain bleeds as quickly as possible and is critical in ensuring minimal damage.”

MedyMatch’s artificial intelligence-based solution is designed to help physicians identify regions in the brain where there could be bleeding. When a patient undergoes a head CT scan, it is sent through the cloud to a processor, where MedyMatch’s platform uses deep learning, patient data and clinical insights to signal where there may be bleeding, said CEO Gene Saragnese in a previous interview.
The tech can be used to differentiate between ischemic strokes and hemorrhagic strokes and could help ambulance teams quickly rule out bleeding in the brain and administer a drug that will dissolve the clot behind an ischemic stroke—all potentially en route to the hospital. The company hopes to gain FDA approval and a CE mark by the end of the year, a spokeswoman said.
“This is just one example of how Intelligent imaging can have a positive impact on a stroke or trauma patient and provide a whole new level of care by bringing “A.I. to the curbside”, said Robert Mehler, MedyMatch's chief operating officer, in the statement. “MedyMatch envisions that medical imaging devices will be A.I.-enabled with decision support to assist the physician in patient care, increase the speed in which patient assessment can be performed and optimize the clinical workflow."
Earlier this month, MedyMatch teamed up with IBM Watson to integrate its decision-support applications into IBM Watson Health Imaging’s offerings. Under the agreement, IBM Watson will distribute the brain bleed detection tool through its established sales channels. And last summer, the company partnered with New Jersey-based Capital Health to apply artificial intelligence to the analysis of stroke patients' medical images.

No comments:

Post a Comment