AI Case Study

Unanimous AI achieves 22% more accurate pneumonia diagnoses with the use of "swarm intelligence"

Unanimous AI in collaboration with Stanford University School of Medicine conducted a study to diagnose pneumonia using the startup's AI system that mimics a biological phenomenon, called swarmed intelligence, where groups of organisms amplify their intellect by forming real-time systems. Their system improves prediction accuracy and was able to diagnose pneumonia 22% more accurately than a a team of radiologists working alone and reduced errors by 33%.

Industry

Healthcare

Healthcare Providers And Services

Project Overview

"Unanimous AI’s platform leverages swarm intelligence — a biological phenomenon where groups of organisms amplify their intellect by forming real-time systems — to improve prediction accuracy."
Their process, called artificial swarm intelligence involves the following: "Human participants — in this case radiologists at Stanford and other institutions across the country — log into Unanimous AI’s platform using a networked computer. Collectively, they attempt to move a cursor with a mouse, touchpad, or touchscreen toward a prediction (i.e., a diagnosis) while algorithms process their behavior in real time.

It’s a two-step process — participants converge on a coarse range of possibilities and then on a refined value — but it’s quicker than you might expect. Radiologists in the study settled on 50 diagnoses in about 60 seconds on average (and as quickly as 33 seconds), with some participants exerting more influence than others. That’s by design — Unanimous AI’s algorithms infer swarm members’ conviction based on their cursor motions and weigh their contributions accordingly.

Reported Results

"The radiologists achieved 82 percent diagnostic accuracy overall compared to human experts’ 73 percent accuracy."

Technology

"Unanimous AI’s platform leverages swarm intelligence — a biological phenomenon where groups of organisms amplify their intellect by forming real-time systems — to improve prediction accuracy."

Function

R And D

Core Research And Development

Background

Unanimous AI currently has two products in its portfolio, both of which operate on a system-as-a-service model: Swarm Insight and Swarm AI. The former has an enterprise bent — one client used it to predict how customers might react to a television ad for pancakes, and another — beverage company Constellation Brands — had it gauge customer reactions to its investment in cannabis. Swarm AI, meanwhile, taps a company’s workforce for consensus; engineers at Boeing use it to aid in cockpit designs."

Benefits

Data

questions, feedback loops,