You may remember this alert from 2018, when a ballistic missile warning went out to the people of Hawaii. If you don't remember it, that’s OK—it turned out to be a false alarm. Although the full cause was never made public, there was widespread speculation that it stemmed from a poorly designed UI—the user interface … Continue reading Designing with bias in mind
Technology
Let’s not outsource humanity
If you've attended any talks about AI in radiology in the last couple of years (including mine), then you've probably heard Geoffrey Hinton’s 2016 prediction that "in 5 years deep learning is going to do better than radiologists" and so we should stop training new radiologists. Turns out that wasn't just wrong, it was shockingly … Continue reading Let’s not outsource humanity
Easy and impactful
At an AI-in-healthcare discussion event, someone asked a question - what opportunities are there for AI in healthcare? That's a very broad question and one that each person or company entering the healthcare AI business is going to have to answer for themselves. Perhaps a more interesting question is, once you have some opportunities in mind, … Continue reading Easy and impactful
Radiology is not ruined, it just doesn’t know what it is
Robert Wachter recently published a book exerpt, Has Technology Ruined the Radiology Profession? The basic idea is that technology, first seen as a boon to the profession of radiology, has actually eroded its value, perhaps to the point of replacing radiologists with machines. It's a cautionary tale, meant to warn the rest of medicine of the … Continue reading Radiology is not ruined, it just doesn’t know what it is
Red Goggles 