Blog

AIMed interviews Centaur.ai CEO Erik Duhaime

Author Image
Laura Kier, VP of Growth
February 18, 2021
AI Med

— Via AIMed

The life-saving reason why medical annotation company Centaur Labs wants us all to start analyzing medical images

In 1987, Jack Treynor, Finance Professor at the University of Southern California, conducted an experiment with his class in an effort to prove market efficiency. Treynor asked each of his 56 students to estimate the number of jelly beans inside a jar. The jar contained 850 beans, and the median answer Treynor’s students gave was 870.

Only one student managed to give an estimate that was closer to the true value than the group median. The experiment became a classic example of the wisdom of crowds, where the average answer obtained from a group of individuals tends to be more accurate than the answers of the individuals themselves.

Erik Duhaime, Co-Founder and CEO of medical data labeling company Centaur.ai, knew the experiment. But when he studied it again during his PhD at the MIT Center for Collective Intelligence, he saw another potential use. At the center, researchers look at how humans and computers can be better connected to become more powerful.

“I was partly inspired by my wife, who was attending medical school and residency at that time,” says Duhaime. “My PhD research focused on how to aggregate the opinions of multiple experts. Particularly, overcoming the challenge of making the wisdom of crowds work for certain tasks like analyzing medical images, where some people might have the professional knowledge and skills to do so, while others do not.”

Read the full article at AIMed »

Related posts

September 2, 2022

Consensus teams up with Centaur.ai to create data labels

The new AI-powered scientific search engine, Consensus, partners with Centaur.ai to generate high-quality, scalable scientific data labels for research.

Continue reading →
August 4, 2025

MedAESQA: Setting a new standard for evidence-grounded medical QA

Centaur.ai provided clinicians who evaluated AI-generated medical answers for the NIH’s MedAESQA dataset, verifying each statement’s accuracy and citation support. This expert-in-the-loop process ensures reliable, evidence-based benchmarks for healthcare AI. The project reflects Centaur.ai’s mission to improve AI through human oversight in high-stakes, precision-critical environments like medicine.

Continue reading →
August 4, 2021

Centaur Spotlight: Tom Gellatly

Today, we’re getting to know Tom Gellatly, a Centaur Labs co-founder and the VP of engineering!

Continue reading →