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#005 Prediction Models for Diagnosis and Prognosis of COVID-19 (BMJ Paper) — Professor Laure Wynants (Maastricht University)

#005 Prediction Models for Diagnosis and Prognosis of COVID-19 (BMJ Paper) — Professor Laure Wynants (Maastricht University)

FromBig Picture Medicine


#005 Prediction Models for Diagnosis and Prognosis of COVID-19 (BMJ Paper) — Professor Laure Wynants (Maastricht University)

FromBig Picture Medicine

ratings:
Length:
15 minutes
Released:
Apr 10, 2020
Format:
Podcast episode

Description

"I'm going to go out on a limb and say that AI isn't going to get us out of the covid-19 crisis." Natasha Loder, Health Policy Editor at the Economist.
Except, some researchers are trying just that. They're using deep learning to read CT scans and try to diagnose COVID-19, as well as building other types of models to predict the prognosis (mortality, length of hospital stay etc.) of the disease.
A number of these models have been published as preprints or in academic journals — but Laure's team found that they were poorly reported, at a high risk of bias and and highly optimistic about their results.
You can find Laure's systematic review here (available open access):
https://www.bmj.com/content/369/bmj.m1328
Released:
Apr 10, 2020
Format:
Podcast episode

Titles in the series (100)

Interviews with healthcare leaders having impact at scale. Think healthcare meets the Tim Ferriss Show. Interviews in Healthcare Entrepreneurship, AI, Academia and Policy | Get in touch: pod@musty.io