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AI Major Wins Automated Medical Diagnosis Challenge

Dongkyun Kim, a junior artificial intelligence major in Carnegie Mellon University's School of Computer Science, designed the winning deep-learning model in a recent competition to accurately classify diseases based on chest X-rays.

Kim placed first in the Computer Vision for Automated Medical Diagnosis Chest X-Rays Long-Tailed Challenge, a prestigious competition organized through the International Conference on Computer Vision (#ICCV).

The challenge provided access to a dataset of 300,000 chest X-ray images and asked participants to train a deep-learning model to classify 26 diseases present in the data.
- #CarnegieMellonUniversity

cmu.edu/news/stories/archives/

NewsAI Major Wins Automated Medical Diagnosis ChallengeDongkyun Kim, a junior artificial intelligence major in Carnegie Mellon University's School of Computer Science, designed the winning deep-learning model in a recent competition to accurately classify diseases based on chest X-rays.