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Lauren Oakden-Rayner

Medical AI Researcher / Radiologist

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Tag: radiology

AI has the worst superpower… medical racism.

August 2, 2021 ~ laurenoakdenrayner ~ 55 Comments

Medical AI can detect the racial identity of patients from x-rays. This is extremely concerning, and raises urgent questions about how we test medical AI systems.

CT scanning is just awful for diagnosing Covid-19

March 23, 2020March 26, 2020 ~ laurenoakdenrayner ~ 23 Comments

Reports that CT scanning may be better than PCR testing for covid-19 are flawed and almost certainly wrong.

Half a million x-rays! First impressions of the Stanford and MIT chest x-ray datasets

February 25, 2019 ~ laurenoakdenrayner ~ 19 Comments

My first impressions of these datasets. How do they measure up, and how useful might they be?

Medical AI Safety: Doing it wrong.

January 21, 2019January 21, 2019 ~ laurenoakdenrayner ~ 52 Comments

Medical AI has a safety problem; we know for a fact our testing isn't reliable. We've seen how this plays out before.

CheXNet: an in-depth review

January 24, 2018January 24, 2018 ~ laurenoakdenrayner ~ 24 Comments

Since the CheXNet paper came out in November 2017 I have been communicating with the author team. I'm finally ready to review the paper. Some of the things I found out surprised me.

The End of Human Doctors – The Bleeding Edge of Medical AI Research (Part 3)

October 9, 2017November 8, 2017 ~ laurenoakdenrayner ~ 11 Comments

Today I want to look at two papers which tell us something very useful about medical AI, particularly if we are trying to predict the future of medicine.

Interested in radiology or research?

May 3, 2016August 24, 2016 ~ laurenoakdenrayner ~ 1 Comment

Just a quick note: If you are in South Australia and you are interested in radiology or research, or even radiology research, feel free to contact me. I can answer any questions you have or maybe even connect you with researchers who need help. And if anyone is willing to give me feedback on my teaching materials, … Continue reading Interested in radiology or research?

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