Ten winning teams of the RSNA 2018 Pneumonia Detection Challenge were recognized on Monday.
Over 1,400 teams developed algorithms to identify and localize pneumonia in chest X-rays and 346 submitted results during the evaluation phase of the competition.
The second annual Machine Learning Challenge made use of a publicly available chest X-ray dataset from the National Institutes of Health, which was annotated to provide the "ground truth" for participants to train their algorithms and to evaluate their submissions in the final phase of the challenge.
The challenge was run on a platform provided by Kaggle, Inc. (a subsidiary of Alphabet, Inc., also the parent company of Google). Kaggle also provided $30,000 in prize money to be shared among the winning entries.