AI competitions don’t produce useful models
Ai competitions are fun, community building, talent scouting, brand promoting, and attention grabbing. But competitions are not intended to develop useful models.
View ArticleImproving Medical AI Safety by Addressing Hidden Stratification
Medical AI testing is unsafe, but addressing hidden stratification may be a way to prevent harm, without upending the current regulatory environment.
View ArticleThe FDA has approved AI-based PET/MRI “denoising”. How safe is this technology?
Super-resolution promises to be one of the most impactful medical imaging AI technologies, but only if it is safe. This week we saw the FDA approve the first MRI super-resolution product, from the same...
View ArticleWho wants to be a clinical AI informaticist?
We need AI-trained radiologists in every practice. Become one by applying for the first Clinical AI Fellowship in Australia!
View ArticleCT scanning is just awful for diagnosing Covid-19
Reports that CT scanning may be better than PCR testing for covid-19 are flawed and almost certainly wrong.
View ArticleThe medical AI floodgates open, at a cost of $1000 per patient.
AI is finally getting paid, apparently at a rate of $1000 per patient. What?
View ArticleIt’s complicated. A deep dive into the Viz/Medicare AI reimbursement model.
CMS will reimburse an AI stroke detection model through Medicare/Medicaid. It is so darn complicated that it deserves a much deeper look.
View ArticleDocs are ROCs: a simple fix for a “methodologically indefensible” practice in...
The way we currently report human performance systematically underestimates it, making AI look better than it is.
View Article2020 and 2021 on the blog, for some reason with more emojis than strictly...
For those who don't know, I was on parental leave for almost all of 2020. Not only did this mean almost no research time, but it meant no blogging time as well. Of course, there were plenty of...
View ArticleAI has the worst superpower… medical racism.
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.
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