Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 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:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. 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 lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Friday, February 21, 2020

Artificial Intelligence Helps Predict Myocardial Infarction, Stroke

How long before this gets to your hospital? Do you prefer your hospital incompetence in NOT KNOWING, or NOT DOING?  Yes, I know this is a not quite a Hobson's choice but close enough.

Artificial Intelligence Helps Predict Myocardial Infarction, Stroke

Artificial intelligence (AI) has been used for the first time to instantly and accurately measure blood flow, according to a study published in Circulation.

The results were found to be able to predict chances of death, myocardial infarction (MI), and stroke, and can be used by doctors to help recommend treatments which could improve a patient’s blood flow.

International guidelines recommend a number of assessments to measure a patient’s blood flow, but many are invasive and carry a risk. Non-invasive blood flow assessments, such as cardiovascular magnetic resonance (CMR) imaging, but up until now, the images have been incredibly difficult to analyse in a manner precise enough to deliver a prognosis or recommend treatment.

For the current study, Kristopher Knott, MD, University College London Institute of Cardiovascular Science, London, United Kingdom, and colleagues took routine CMR scans from more than 1,000 patients treated at 2 UK hospitals and used a new automated artificial intelligence technique to analyse the images. By doing this, the researchers were able to precisely and instantaneously quantify the blood flow to the heart muscle and deliver the measurements to the medical teams treating the patients.

By comparing the AI-generated blood flow results with the health outcomes of each patient, the team found that the patients with reduced blood flow were more likely to have adverse health outcomes including death, MI, stroke, and heart failure.

The AI technique was able to predict which patients might die or suffer major adverse events, better than a doctor could on their own with traditional approaches.

“The predictive power and reliability of the AI was impressive and easy to implement within a patient’s routine care,” said Dr. Knott. “The calculations were happening as the patients were being scanned, and the results were immediately delivered to doctors. As poor blood flow is treatable, these better predictions ultimately lead to better patient care, as well as giving us new insights into how the heart works.”

Reference: https://www.ahajournals.org/doi/abs/10.1161/CIRCULATIONAHA.119.044666

SOURCE: University College London

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