This new AI is better at predicting risk of heart attack than your family doctor
The system can identify patterns correlating the variables to heart attack with over 90% accuracy.
By PTI |
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LONDON: Scientists have developed an artificial intelligence (AI) system that is better than human doctors at predicting the risk of heart attack or death.
By repeatedly analysing 85 variables in 950 patients with known six-year outcomes, an algorithm "learned" how imaging data interacts.
It then identified patterns correlating the variables to death and heart attack with more than 90 per cent accuracy.
Machine learning, the modern bedrock of artificial intelligence, is used every day, researchers said.
Google's search engine, face recognition on smartphones, self-driving cars, Netflix and Spotify recommendation systems all use machine learning algorithms to adapt to the individual user.
"These advances are far beyond what has been done in medicine, where we need to be cautious about how we evaluate risk and outcomes. We have the data but we are not using it to its full potential yet," said Luis Eduardo Juarez-Orozco, of the Turku PET Centre in Finland.
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From a stress-detecting patch to AI that mimics the human brain, the technology of the future is geared towards health solutions.
From a stress-detecting patch to AI that mimics the human brain, the technology of the future is geared towards health solutions.
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“By empowering even a rudimentary level of intelligence in wearable electronics and sensors, we can track our health with smart sensors, provide timely diagnostics, regulate and optimise the manufacturing process,” say the researchers.
A team of US researchers has developed an ‘artificial synapse’ that does not process information like a digital computer but rather mimics the way the human brain completes tasks. The discovery can ..
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Scientists have developed a waterproof wearable patch, which when applied directly to the skin, absorbs sweat and within seconds assesses how much cortisol — stress hormone — a person is producing. ..
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Google Glass can rekindle the hopes of people with autism spectrum disorder (ASD) globally, including in India. According to Ned Sahin, founder and CEO of Brain Power, a US-based science-driven comp..
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Using wearable sensor technology, researchers have developed an automatic alert system that may help people to quit smoking by sending video messages. A smartphone app automatically texts 20 to 120-..
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A team of scientists led by an Indian-origin professor has developed a new solar-powered supercapacitor that could help make future wearable technologies lighter and more energy-efficient. The research could take the wearable systems for health monitoring to remote parts of the world where solar power is often the most reliable source of energy.
A team of scientists led by an Indian-origin professor has developed a new solar-powered supercapacitor that could help make future wearable technologies lighter and more energy-efficient. The resear..
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Falls are a common cause of injury in older adults and can create health problems. A recent study under NIH’s Women’s Health Initiative to predict an individual’s risk of falling made 67 participants, all over the age of 60, wear a small device with motion sensors that measured their walking patterns for one week. They found that data extracted from the devices could accurately predict the participants’ risk of falling, as measured by physical examinations of unsteadiness in standing and walking.
Falls are a common cause of injury in older adults and can create health problems. A recent study under NIH’s Women’s Health Initiative to predict an individual’s risk of falling made 67 participant..
Doctors use risk scores to make treatment decisions. However, these scores are based on just a handful of variables and often have modest accuracy in individual patients.
Through repetition and adjustment, machine learning can exploit large amounts of data and identify complex patterns that may not be evident to humans.
"Humans have a very hard time thinking further than three dimensions (a cube) or four dimensions (a cube through time). The moment we jump into the fifth dimension we're lost," Juarez-Orozco said in a statement.
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"Our study shows that very high dimensional patterns are more useful than single dimensional patterns to predict outcomes in individuals and for that we need machine learning," he said.
A coronary computed tomography angiography (CCTA) scan yielded 58 pieces of data on presence of coronary plaque, vessel narrowing, and calcification.
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Bot Care is the tech giant’s latest healthcare-specialised robot, which can measure your blood pressure, heart rate, respiration and sleeping state, and is even capable of reminding you when it’s time to take your medicine.
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Those with scans suggestive of disease underwent a positron emission tomography (PET) scan which produced 17 variables on blood flow. Ten clinical variables were obtained from medical records including sex, age, smoking and diabetes.
During an average six-year follow-up there were 24 heart attacks and 49 deaths from any cause. The 85 variables were entered into a machine learning algorithm called LogitBoost, which analysed them over and over again until it found the best structure to predict who had a heart attack or died.
"The algorithm progressively learns from the data and after numerous rounds of analyses, it figures out the high dimensional patterns that should be used to efficiently identify patients who have the event. The result is a score of individual risk," Juarez-Orozco said.
"Doctors already collect a lot of information about patients -- for example those with chest pain. We found that machine learning can integrate these data and accurately predict individual risk," he said.
"This should allow us to personalise treatment and ultimately lead to better outcomes for patients," he added.
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While the robotic revolution is making a splash around the world, here are a few that aim to make life easier, simulate human emotions and take us closer to the future. While the robotic revolution is making a splash around the world, here are a few that aim to make life easier, simulate human emotions and take us closer to the future.
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