MIT Technology Review July 30, 2021
Will Douglas Heaven

Some have been used in hospitals, despite not being properly tested. But the pandemic could help make medical AI better.

When covid-19 struck Europe in March 2020, hospitals were plunged into a health crisis that was still badly understood. “Doctors really didn’t have a clue how to manage these patients,” says Laure Wynants, an epidemiologist at Maastricht University in the Netherlands, who studies predictive tools.

But there was data coming out of China, which had a four-month head start in the race to beat the pandemic. If machine-learning algorithms could be trained on that data to help doctors understand what they were seeing and make decisions, it just might save lives. “I thought, ‘If there’s any time that AI could prove its usefulness, it’s now,’”...

Today's Sponsors

Canton & Company

Today's Sponsors

Curation Health

Today's Sponsor


Topics: AI (Artificial Intelligence), Healthcare System, Provider, Public Health / COVID, Technology
World first for AI and machine learning to treat COVID-19 patients worldwide
AI startup inks $70M deal with Gates Foundation to develop COVID-19 treatment
New AI technology screens for COVID faster than lateral flow tests
How AI Helped Companies Survive COVID-19: 5 Tips for Resilience
Industry Voices—Why the COVID-19 pandemic was a watershed moment for machine learning