Champion and Crowd's Favourite

Team 01: An AI method to help intensivists optimize ventilation settings

Liu Siqi, Lan Xiang, Liu Zhuo, Xu Zhuoyang, Li Yanxuan, Liesel Fong, See Kay Choong

First Runner-up

Team 14: Best Antibiotics Empirically

Dang Trung Kien, Ke Yuhe, Nicholas Brian Shannon, Muhammad Jarir Kanji, E V S Ravishankar, Li Chenyu, Lee Mei Teng, Hairil Abdullah

Second Runner-up

Team 29: Domain Shift Problem in Deep Learning based Chest X-ray Diagnosis AI Models

Shan Lin, Yufei Wang, Siyuan Yang, Ling Li, Rahul Ahuja

Best Presentation Award

Team 21: Vital Sign Triage Alert - in-hospital Cardiac Arrest Prediction Score

Chien-Chang Lee, Chien-Hung Li, Hong-Jie Jhou, Hsin-Ying Lee, Ke-Ying Su, Po-Huang Chen, Cho-Hao Lee, I-Ju Wu, Po-Chih Kuo

Best Potential Award

Team 36: To Use Basic Electronic Data to Predict Prolonged Ventilation

Sing Chee Tan, Vlada Rozova, Shilpa Veerappa, Ryo Ueno, Douglas Pires, Vinodh Nanjayya, Jing Hui Liu, Carl Xing

Finalist

Team 07: Does the use of chest X-ray improve the prediction ability of extubation failure using deep neural networks?

Goto Tadahiro, Dohi Eisuke, Fukuchi Kiyoyasu, Kasugai Daisuke, Miyamoto Yoshihisa, Ohbe Hiroyuki, Osawa Itsuki, Satake Shunya, Tamoto Mitsuhiro, Yamada Naoki, Yoshikawa Keisuke

Finalist

Team 47: Early Prediction of MV Requirement by Deep Learning Model

Young Seok Jeon, Jung Hwa Lee, Seungmin Baik, Seung Won Lee, Seojeong Shin, Doyeop Kim, Chioh Song, Cinyoung Hur, Geun U Park, Haneol Lee

Finalist

Team 31:

Chunhui He, Xin Jin, Tao Bu, Xiaofang Ye, Wenchun Xia, Ting He, Mingyue Liu

Finalist

Team 34: AI in Medical Imaging - Development of Defense System in Preventing Adversarial Attack

Daniel Ting, Wei Yan Ng, Dinesh Gunasekeran, Yong Liu, Xin Xing Xu, Yan Yu Xu, Gilbert Lim, Shihao Zheng, Dinh Linh, Rick Goh

Finalist

Team 49: Better Intubation Timing in Sepsis

Jiang Shengmao, Yang Xiao, Hu Chang, Hao Fangbin, Liu Xiaoli, Li Bowen, Ma Chenbin, Wu Di, Stacy Xu