In an early test of how AI can be used to decipher large amounts of health data, researchers at UC San Francisco and Wayne State University found that generative AI tools could perform orders of magnitude faster — and in some cases better than computer science teams that had spent months poring over the data.
Teams of scientists and scientists paired with AI were given the same task: predict preterm birth based on data from more than 1,000 pregnant women.
Even a junior research duo composed of a master’s student at UCSF, Reuben Sarwal, and a high school student, Victor Tarca, made viable prediction models with AI assistance. They generated working computer code in minutes — a task that would have…