Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

Coppock, Harry; Nicholson, George; Kiskin, Ivan; Koutra, Vasiliki; Baker, Kieran; Budd, Jobie; Payne, Richard; Karoune, Emma; Hurley, David; Titcomb, Alexander; Egglestone, Sabrina; Tendero Cañadas, Ana; Butler, Lorraine; Jersakova, Radka; Mellor, Jonathon; Patel, Selina; Thornley, Tracey; Diggle, Peter; Richardson, Sylvia; Packham, Josef; Schuller, Björn W.; Pigoli, Davide; Gilmour, Steven; Roberts, Stephen; Holmes, Chris

doi:10.1038/s42256-023-00773-8

All Outputs (2)

Evaluating the role of primary care pharmacy technicians in antimicrobial stewardship (AMS) and acne management using TARGET resources (2024)
Journal Article

Background: Inappropriate antibiotic prescribing is accelerating antimicrobial resistance (AMR) (Antibiotic resistant infections and associated deaths increase https://www.gov.uk/government/news/antibiotic-resistant-infections-And-Associated-deaths-i... Read More about Evaluating the role of primary care pharmacy technicians in antimicrobial stewardship (AMS) and acne management using TARGET resources.

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers (2024)
Journal Article

Recent work has reported that respiratory audio-trained AI classifiers can accurately predict SARS-CoV-2 infection status. However, it has not yet been determined whether such model performance is driven by latent audio biomarkers with true causal li... Read More about Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers.