AI cough analysis tool able to ‘hear’ Covid-19

By Paddy Smith
An AI tool for detecting Covid-19 by listening to the sound of a cough could present a breakthrough in testing, including for asymptomatic carriers...

MIT scientists have created an AI tool that can listen for Covid-19 in coughs.

The researchers employed AI engines developed to spot Alzheimer’s, using a dataset of over five thousand samples to train and test the machine learning algorithm.

Although other teams have been working on similar projects, none has achieved the success of the MIT project. The University of Cambridge’s Covid-19 Sounds attempt reported an 80 per cent success rate in July, but MIT’s model achieved sensitivity of 98.5 per cent, rising to 100 per cent for asymptomatic subjects.


The team said in a summary, “AI techniques can produce a free, non-invasive, real-time, any-time, instantly distributable, large-scale Covid-19 asymptomatic screening tool to augment current approaches in containing the spread of Covid-19. Practical use cases could be for daily screening of students, workers, and public as schools, jobs, and transport reopen, or for pool testing to quickly alert of outbreaks in groups.”

If it passed regulatory approval following further testing, the tool could be used to deliver daily nationwide Covid-19 testing.

The research was published in the IEEE Open Journal of Engineering in Medicine and Biology .


Featured Articles

Securing the future of IoT with AI biometric technology

The world needs an IoT future, so It’s time to forget your password – for good. A new breed of AI-powered biometric security measures is required

EU networks plan to build a foundation for trustworthy AI

Artificial intelligence technologies are in their infancy, but commercial stakeholders must build them on foundations of trust, say research experts

ICYMI: Power users distrust AI and new National Robotarium

A week is a long time in artificial intelligence, so here’s a round-up of AI Magazine articles that have been starting conversations around the world

Reducing the impact of ecommerce with AI and ML

AI Applications

Now is the time for intelligent products and services

AI Strategy

The eyes of a machine: automation with vision

Machine Learning