Deprecated: Implicit conversion from float 79.9 to int loses precision in /home/cxvps542/visegrad24.info/wp-includes/class-wp-hook.php on line 85

Deprecated: Implicit conversion from float 79.9 to int loses precision in /home/cxvps542/visegrad24.info/wp-includes/class-wp-hook.php on line 87

Deprecated: Constant FILTER_SANITIZE_STRING is deprecated in /home/cxvps542/visegrad24.info/wp-content/plugins/wpseo-news/classes/meta-box.php on line 59

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wordpress-seo domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/cxvps542/visegrad24.info/wp-includes/functions.php on line 6114
Experiments show that smart technologies increase the rate of recovery of stroke victims!
Fastest News Updates around the World

Experiments show that smart technologies increase the rate of recovery of stroke victims!

140

- Advertisement -

Preliminary results have shown that artificial intelligence programs used in UK NHS hospitals have saved tens of thousands of patients from permanent disability.

Technology that helps doctors quickly diagnose stroke patients has tripled the number of people living normal lives.

An initial analysis of the data, which included more than 100,000 patients with suspected stroke, states that the proportion of those who achieved near-complete recovery increased from 16% to 48%.

Experts note that this is due to faster diagnosis and faster treatment – an essential part of stroke recovery.

The technology, which uses artificial intelligence algorithms to help doctors interpret brain scan results, is currently being rolled out across the country to improve outcomes for stroke patients.

It comes after the NHS said it is turning to artificial intelligence to try to resolve the bed ban crisis by using software to accurately predict when patients will be ready to leave the hospital.

Social care services can then be alerted in advance of the patient’s expected discharge date, allowing care beds or community care packages to be prepared.

Health chief Steve Barclay said the technology, developed by UK-based Brainomax, showed that AI “has the potential to transform the NHS” by helping make faster and more accurate diagnoses.

“Brainomix is ​​a great example of how this can be achieved by leveraging the power of AI to shorten the life-saving minutes of one of the most time-consuming diagnostic procedures in medicine, meaning patients get the care they need faster,” he said. .

The program means stroke professionals can access scans and images remotely so they can support other hospitals on Integrated Stroke Delivery Networks (ISDN).

So far, it has been used in 111,000 patients with suspected stroke at 22 hospitals across England.

Dr Timothy Ferriss, Director of Transformation at NHS England, said: “Every minute saved during the initial hospital evaluation of people with stroke-like symptoms can greatly improve a patient’s chances of leaving the hospital in good health.”

The E-Stroke program is part of the growing use of artificial intelligence in the healthcare service, with software designed to improve non-essential hospital stays being piloted at four centers in Wales.

Developed by UK-based artificial intelligence company College, it analyzes data including age, health status and previous hospital stays to estimate how long a patient will have to stay in the hospital, reports The Times.

Source: Daily Mail

Leave a Reply

This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish. Accept Read More