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— 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.”
Multimodal social listening requires more than raw data. To truly understand brand health across text, image, and video, companies need high-quality annotated datasets. Centaur.ai combines synthetic, privacy-safe data with expert labeling to deliver precise, scalable insights that keep brands compliant, resilient, and prepared for real-time consumer sentiment shifts.
The new AI-powered scientific search engine, Consensus, partners with Centaur.ai to generate high-quality, scalable scientific data labels for research.
Expert feedback is essential for safe, effective healthcare AI, as emphasized in a Centaur Labs webinar featuring leaders from Google Health, PathAI, and Centaur.