This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2518) Theme Issue 2022: Chatbots and COVID-19 (42) Clinical Information and Decision Making (1754) Machine Learning (1872) Artificial Intelligence (1897) New Methods (1073)

Published on in Vol 25 (2023)

This is a member publication of University of Cambridge (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44804, first published .
Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study

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

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

Authors of this article:

Jing Han1 Author Orcid Image ;   Marco Montagna2 Author Orcid Image ;   Andreas Grammenos1 Author Orcid Image ;   Tong Xia1 Author Orcid Image ;   Erika Bondareva1 Author Orcid Image ;   Chloë Siegele-Brown3 Author Orcid Image ;   Jagmohan Chauhan3 Author Orcid Image ;   Ting Dang1 Author Orcid Image ;   Dimitris Spathis1 Author Orcid Image ;   R Andres Floto4 Author Orcid Image ;   Pietro Cicuta5 Author Orcid Image ;   Cecilia Mascolo1 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics
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Eduardo Suarez Eduardo Suarez @EduardoSuarez25

#COVID19 "Evaluación del rendimiento auditivo para la detección de COVID-19 por parte de médicos y aprendizaje auto… https://t.co/mArD3EOnsx

9:45 AM · May 07, 2023

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Tom Bellis Tom Bellis @tommybellis

Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study… https://t.co/h88ff1HBVh

2:31 PM · May 09, 2023

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Evaluating Listening Performance for #COVID19 #coronavirus Detection by Clinicians and Machine Learnin… https://t.co/7OXwIN5i4l

3:06 PM · May 09, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Evaluating Listening Performance for #COVID19 #coronavirus Detection by Clinicians and Machine Learning: Comparat…

3:06 PM · May 09, 2023

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Marco Montagna Marco Montagna @MountainMarco

RT @jmirpub: New in JMIR: Evaluating Listening Performance for #COVID19 #coronavirus Detection by Clinicians and Machine Learning: Comparat…

7:31 AM · May 10, 2023

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Marco Montagna Marco Montagna @MountainMarco

Can we diagnose COVID19 from respiratory sounds? Are doctors better than AI at it? Read our last paper and find out! https://t.co/ggsY33CY6p

7:39 AM · May 10, 2023

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Cecilia Mascolo???????????????? Cecilia Mascolo???????????????? @cecim

Our paper "Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative… https://t.co/Hlwm2iS3eN

2:00 PM · May 22, 2023

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Tong Xia Tong Xia @TongXia9

RT @cecim: Our paper "Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study" is out…

5:40 AM · Jun 07, 2023

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Ting Dang Ting Dang @tingdang513

RT @cecim: Our paper "Evaluating Listening Performance for COVID-19 Detection by Clinicians and Machine Learning: Comparative Study" is out…

2:59 PM · Jun 07, 2023

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