London, Feb 15 (Ians) The AI classifiers trained on audio recordings cannot accurately predict whether someone has Covid-19 by analysing the sound of their coughs, according to the study led by the UK’s Alan Turing Institute.
As first reported in a paper from researchers led by the Massachusetts Institute of Technology, there were claims that AI could detect the difference in cough sounds between those with and without Covid-19 with up to 98.5 per cent accuracy, reports The Register.
The result led to efforts to build an app powered by the algorithms to provide people with a cheap and easy method to test for the novel coronavirus.
The Department of Health and Social Care in the UK even went so far as to award Fujitsu two contracts totalling more than 1,00,000 pounds to develop the government’s so-called “Cough In A Box” initiative in 2021, according to the report.
The software would collect...
As first reported in a paper from researchers led by the Massachusetts Institute of Technology, there were claims that AI could detect the difference in cough sounds between those with and without Covid-19 with up to 98.5 per cent accuracy, reports The Register.
The result led to efforts to build an app powered by the algorithms to provide people with a cheap and easy method to test for the novel coronavirus.
The Department of Health and Social Care in the UK even went so far as to award Fujitsu two contracts totalling more than 1,00,000 pounds to develop the government’s so-called “Cough In A Box” initiative in 2021, according to the report.
The software would collect...
- 2/15/2023
- by News Bureau
- GlamSham
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