Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study.

Jing Han Marco Montagna Andreas Grammenos Tong Xia Erika Bondareva Chloë Brown Jagmohan Chauhan Ting Dang Dimitris Spathis R Andres Floto Pietro Cicuta Cecilia Mascolo

Published in: Journal of medical Internet research (2023)

Our findings suggest that the clinicians and the ML model could make better clinical decisions via a cooperative approach and achieve higher confidence in audio-based respiratory diagnosis.

Keyphrases

machine learning
palliative care
coronavirus disease
sars cov
loop mediated isothermal amplification
artificial intelligence
big data
deep learning