Students Pitch AI-Inspired Solutions at Cornell Health Hackathon
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By Carla Cantor, Weill Cornell Medicine
Many of health care’s toughest challenges – from delayed diagnoses to inefficient clinical workflows – are waiting for creative solutions. At the Cornell Health AI Hackathon, student teams spent an intense weekend racing to build some of them.
More than 100 students from across Cornell campuses and 17 other universities gathered March 6-8 in New York City for the hackathon. Organized by Entrepreneurship at Cornell with partners including Weill Cornell Medicine’s Englander Institute for Precision Medicine, and the Clinical and Translational Science Center (CTSC), along with Cornell Tech, the event brought together interdisciplinary teams from medicine, engineering, computer science and business.
Over 36 hours, participants developed and pitched prototype technologies aimed at improving health care delivery.
“Artificial intelligence has dramatically changed what students can accomplish in a short period of time,” said Ami Stuart, who has organized Cornell hackathons for more than a decade through Entrepreneurship at Cornell. “What once required weeks of coding can now be done in hours. That allows students to focus more on solving real problems.”
