Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review

• Main Authors: Chee, Marcel Lucas, Ong, Marcus Eng Hock, Siddiqui, Fahad Javaid, Zhang, Zhongheng, Lim, Shir Lynn, Ho, Andrew Fu Wah, Liu, Nan
• Other Authors: DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL)
• Format: Review
• Language: English
• Published: MDPI 2022
• Subjects: Science & Technology; Life Sciences & Biomedicine; Environmental Sciences; Public, Environmental & Occupational Health; Environmental Sciences & Ecology; artificial intelligence; machine learning; COVID-19; emergency department; intensive care; critical care; MECHANICALLY VENTILATED PATIENTS; MULTIVARIABLE PREDICTION MODEL; INDIVIDUAL PROGNOSIS; DIAGNOSIS TRIPOD; VALIDATION; EXPLANATION; CALIBRATION; SIMULATION; EVENTS; RISK
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/228743
• Institution: National University of Singapore

10.3390/ijerph18094749