Hundreds of AI tools have been built to catch covid. None of them helped. | MIT Technology Review
technologyreview.com · 2,041 words · saved by 1 readers
Some have been used in hospitals, despite not being properly tested. But the pandemic could help make medical AI better.
Hundreds of AI tools have been built to catch covid. None of them helped. | MIT Technology Review Skip to Content When covid-19 struck Europe in March 2020, hospitals were hit by a health crisis they were not prepared for. “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 AI 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 understan
related reading
- The algorithm will see you now - Works in Progress Magazineworksinprogress.co
- AI for medicine is overhyped right now - by Dan Eltonmoreisdifferent.substack.com
- Medical AI isn't the bottleneck to medical progress | Mechanize, Inc.mechanize.work
- AI isn't replacing radiologistsworksinprogress.news
- Paving the way for agents in biology \ Anthropicanthropic.com
- Medical AI Safety: Doing it wrong. – Lauren Oakden-Raynerlaurenoakdenrayner.com
- How Big Is Our Blindspot? Why AI for Science Needs More Than Better Modelsrenaissancephilanthropy.substack.com
- From a ‘deranged’ provocateur to IBM’s failed AI superproject: the controversial story of how data has transformed healthcaretheconversation.com
- Artificial intelligence in healthcare: transforming the practice of medicinepmc.ncbi.nlm.nih.gov
- The bait and switch behind AI risk prediction toolsnormaltech.ai
- AI Triage Safety: HealthBench & Emergency Escalation | Counsel Healthcounselhealth.com
- The Path to Medical Superintelligence | Microsoft AImicrosoft.ai