- Each year, an estimated 15 million people globally experience a stroke.
- A person may have a better outcome following a stroke if treated quickly.
- In a new study, researchers used artificial intelligence and a single chest X-ray to predict a person\u2019s 10-year risk of dying from a stroke or heart attack.<\/p>\n\n\n\n
Each year, about 15 million people worldwide have a stroke, causing about 5 million deaths and leaving another 5 million permanently disabled. A person\u2019s outcome following a stroke depends on how quickly they receive treatment once symptoms begin.<\/p>\n\n\n\n
Researchers from Massachusetts General Hospital developed a deep learning model using artificial intelligence (AI) and a single chest X-ray to help predict a person\u2019s 10-year risk of dying from a stroke or heart attack.<\/p>\n\n\n\n
The results of the study were presented at the annual meeting of the Radiological Society of North America (RSNA) in Chicago.<\/p>\n\n\n\n
Stroke is a type of cardiovascular disease (CVD). A stroke occurs when a person\u2019s blood vessels to the brain become blocked or burst.<\/p>\n\n\n\n
There are two main types of stroke:
\u2022 ischemic stroke is the most common type and happens through a blocked artery
\u2022 hemorrhagic stroke occurs if a blood vessel bursts, causing bleeding.<\/p>\n\n\n\n
There are a number of stroke risk factors, including: Common symptoms The American Heart Association (AHA) advises US citizens if suspect that someone may be having a stroke, FAST test should be done to identify the symptoms: T: time to call 911.\n\nAlthough doctors can treat a stroke, outcomes are determined by the stroke severity and how quickly a person receives treatment!<\/p>\n\n\n\n Istra\u017eiva\u010di su razvili model dubokog u\u010denja koristec\u0301i ve\u0161ta\u010dku inteligenciju za trenutnu studiju.<\/p>\n\n\n\n Researchers developed a deep learning model using artificial intelligence for the current study. The team used a CXR-CVD system that was \u201ctrained\u201d to search more than 147,000 chest X-ray images from almost 41,000 participants in a cancer screening trial and spot patterns associated with cardiovascular disease.<\/p>\n\n\n\n Although compelling, the new research is preliminary, and more long-term studies are still needed.<\/p>\n\n\n\n Dr. Jennifer Wong, a cardiologist and medical director of noninvasive cardiology at Memorial Care Heart and Vascular Institute at Orange Coast Medical Center in Fountain Valley, CA, who was not involved in the study, said that future longitudinal studies could examine outcomes for people with different levels of risk as identified on a chest X-ray.<\/p>\n\n\n\n \u201cIdentifying people with higher risk for cardiovascular disease early is important, and more tools to help identify those at risk is always useful,\u201d Dr. Wong told.<\/p>\n\n\n\n
\u2022 age
\u2022 gender (men have a higher likelihood of stroke risk compared to women)
\u2022 race (African Americans are 50% more likely to have a stroke compared to white adults)
\u2022 family history
\u2022 high blood pressure (hypertension)
\u2022 smoking
\u2022 diabetes<\/a>
\u2022 high LDL cholesterol
\u2022 pre-existing heart disease.<\/p>\n\n\n\n
\u2022 numbness or weakness, especially if only one side of the body
\u2022 inability to speak or understand speech
\u2022 vision issues
\u2022 dizziness and loss of balance
\u2022 severe headache<\/p>\n\n\n\n
F: face drooping
A: arm weakness
S: speech difficulty<\/p>\n\n\n\nDeveloping a predictive model for stroke<\/h4>\n\n\n\n