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.