radiologists

also referred to as: radiologist

4 statements across 4 episodes · 1 bullish · 2 bearish · 4 people on the record · first statement Jan 2, 2019 by Frank Chen · across every show →

Everything said about radiologists, oldest first

Jan 2, 2019 bearish

Prediction Partly held up

Chen: Deep learning will outperform trained radiologists within five years

“It takes five years to train a radiologist, and in five years, deep learning will get better results than a trained radiologist, so we should stop training them right now.”

Frank Chen Jan 2, 2019 ▶ 13:34 a16z Podcast | Machine Intelligence, from University to Industry

Apr 29, 2020 positive

Prediction Open · timeframe Apr 2025

Healthcare technology will create new medical specialties like radiology did

“And I think one of the most surprising things we'll see is the emergence of new specialties that come from the use of technology in healthcare, much like radiologists, of course, came on the backs of the ability of the availability of x-ray technologies.”

Jorge Conde Apr 29, 2020 ▶ 9:03 Healthcare Has Left the Building

Sep 25, 2023

Assertion Not checkable as stated

Koller: Human radiologists see only a small percentage of MRI data

“In MRI data, your radiologist doesn't see more than like a small percentage of what's there in your radiology images”

Daphne Koller Sep 25, 2023 ▶ 9:20 Digital Biology with insitro's Daphne Koller

Aug 4, 2025 negative

Assertion Supported

Smith: Radiologist wages and employment rose after Hinton's automation prediction

“You also got Jeffrey Hinton's prediction that radiologists would be unemployed within a certain time frame, and by that time, radiologist wages were higher than ever, and employment was higher than ever.”

Noah Smith Aug 4, 2025 ▶ 12:45 Dwarkesh Patel and Noah Smith on AGI and the Economy

radiologists

Everything said about radiologists, oldest first

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