Friday December 13, 2019

Researchers Can Now Detect Heart Failure with 100% Accuracy with the Help of Artificial Intelligence

Conversely, their new model uses a combination of advanced signal processing and machine learning tools on raw ECG signals, delivering 100 per cent accuracy

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Artificial Intelligence Bot
Artificial Intelligence Bot. Pixabay

With the help of Artificial Intelligence(AI), researchers have developed a neural network approach that can accurately identify congestive heart failure with 100 per cent accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat.

Congestive heart failure (CHF) is a chronic progressive condition that affects the pumping power of the heart muscles. Associated with high prevalence, significant mortality rates and sustained healthcare costs, clinical practitioners and health systems urgently require efficient detection processes.

The researchers have worked to tackle these important concerns by using Convolutional Neural Networks (CNN) – hierarchical neural networks highly effective in recognising patterns and structures in data.

“We trained and tested the CNN model on large publicly available ECG datasets featuring subjects with CHF as well as healthy, non-arrhythmic hearts. Our model delivered 100 per cent accuracy: by checking just one heartbeat we are able detect whether or not a person has heart failure,” said study researcher Sebastiano Massaro, Associate Professor at the University of Surrey in the UK.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“Our model is also one of the first known to be able to identify the ECG’ s morphological features specifically associated to the severity of the condition,” Massaro said.

Published in Biomedical Signal Processing and Control Journal, the research drastically improves existing CHF detection methods typically focused on heart rate variability that, whilst effective, are time-consuming and prone to errors.

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Conversely, their new model uses a combination of advanced signal processing and machine learning tools on raw ECG signals, delivering 100 per cent accuracy.

“With approximately 26 million people worldwide affected by a form of heart failure, our research presents a major advancement on the current methodology,” said study researcher Leandro Pecchia from the University of Warwick. (IANS)

Next Story

US Chipmaker Intel Eyes AI on ‘Edge Computing’

It is designed to accelerate AI tasks, particularly ones like image processing, delivering performance up to six times the power efficiency of existing processors

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Intel on Wednesday unveiled eight additional 10th Gen Intel Core processors for modern laptop computing.
Intel on Wednesday unveiled eight additional 10th Gen Intel Core processors for modern laptop computing. Pixabay

US chipmaker Intel Corp. has said that it will focus on “edge computing” that could hold the key to the success of artificial intelligence (AI) in the future.

Edge computing refers to the practice of storing data on computers located near cell towers and other network equipment to improve network response times. It is different from today’s Cloud-based system, where information is sent to a distant data centre, Yonhap news agency reported on Wednesday.

“Forty-three per cent of AI tasks will be handled by edge computing in 2023,” Kwon Myung-sook, CEO of Intel Korea, said in a statement during a forum in Seoul.

“AI devices empowered with edge function will jump 15-fold.”

The expansion of computing at the edge is an important growth opportunity for the chip giant — an estimated $65 billion market by 2023, Intel said.

Huawei, Atlas 900, World
The future of computing is a massive market worth more than two trillion US dollars. Pixabay

More AI is being incorporated into edge devices, from Internet of Things (IoT) devices to smartphones, as AI algorithms improve, according to the company.

“Innovation in edge computing has become necessary where data is most produced,” Kwon said. “It is why Intel is preparing a platform solution that can cover both hardware and software.”

Intel said AI will support and provide new services in eight key industries, including smart cities, robots and gaming.

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In order to do so, Intel said it will launch the next-generation Movidius Vision Processing Unit next year.

It is designed to accelerate AI tasks, particularly ones like image processing, delivering performance up to six times the power efficiency of existing processors. (IANS)