Korea University Medical Center's 1st Medical AI Competition Compensation
Nov 18, 2024
The first medical AI competition hosted by Korea University Medical Center (Ministry of Medicine and Medical Center Director Yoon Eul-sik) with Korea University Medical School and Korea University BK21 Convergence Intermediary's Science Education Research Group concluded with a successful award ceremony on the 15th.
The competition was designed to maximize the applicability of AI technology in the medical field with the support of seven companies, including SNA, SK Shields, Mondrian AI, and DCP, and to strengthen the capabilities of artificial intelligence researchers using medical data. Furthermore, we aimed to validate participants' ability to efficiently analyze medical data and produce desired outcome values.
Participants in the competition performed the task of developing an AI model to predict gene expression data from H&E stained tissue images for a month in October with the theme of predicting gene expression from them. As a result of the pre-task evaluation, the top eight teams were selected and field presentations were conducted on the 15th.
As a result of the final result, Busan National University student Kim Hae-won (Haeoni Team) won the grand prize. The Haeoni team was honored with a high score in AI prediction model development and presentation evaluation.
Ahn Sang-jung, a professor of pathology at Korea University School of Medicine, the chairman of the evaluation committee, said in a review meeting that `it would have been an opportunity to learn a lot from each other through presentations by other participants.'
The competition was designed to maximize the applicability of AI technology in the medical field with the support of seven companies, including SNA, SK Shields, Mondrian AI, and DCP, and to strengthen the capabilities of artificial intelligence researchers using medical data. Furthermore, we aimed to validate participants' ability to efficiently analyze medical data and produce desired outcome values.
Participants in the competition performed the task of developing an AI model to predict gene expression data from H&E stained tissue images for a month in October with the theme of predicting gene expression from them. As a result of the pre-task evaluation, the top eight teams were selected and field presentations were conducted on the 15th.
As a result of the final result, Busan National University student Kim Hae-won (Haeoni Team) won the grand prize. The Haeoni team was honored with a high score in AI prediction model development and presentation evaluation.
Ahn Sang-jung, a professor of pathology at Korea University School of Medicine, the chairman of the evaluation committee, said in a review meeting that `it would have been an opportunity to learn a lot from each other through presentations by other participants.'
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