AI
Radiology AI startups in 2021 are like Tesla 10 years ago
After the crazy hype over the last few years, we can increasingly read about a potential "AI winter" ahead. I believe that many people in our field currently dismiss AI products as something that complicates their life while providing marginal benefits. Most radiologists I know are curious to try AI
The bitter pie charts of radiology AI efficacy
This is a comment on the paper "Artificial intelligence in radiology: 100 commercially available products and their scientific evidence". I can highly recommend to read it.
AI does not increase productivity in radiology - yet
It is a well-known paradox [https://ide.mit.edu/wp-content/uploads/2019/04/2019-04JCurvebrief.final2_.pdf] that technology adoption, not only related to AI, is leading to a J-curve shaped change in productivity. Easy example: Before the introduction of typewriters, reading written text was painful. It was hard to read
Why is radiology AI adoption so slow?
For several years, the radiology community is surrounded by a hype on artificial intelligence (AI). Also, the number of publications in that subject area is steadily increasing. Even Turing Award winner [https://amturing.acm.org/award_winners/hinton_4791679.cfm] and co-inventor of the backpropagation algorithm [https://www.nature.com/
