AI Medical Lab

HI THERE

Our team is made up of data analysts and clinicians who are working hard to combine cutting-edge AI technologies with clinical knowledge and translate these results into online models to help clinical practice.

Zhao QY, Liu LP, Luo JC*, et al. A machine-learning approach for dynamic prediction of sepsis-induced coagulopathy in critically ill patients with sepsis. Front Med; 2020. DOI: 10.3389/fmed.2020.637434.

Liu LP*, Zhao QY*, Wu J, et al. Machine learning for the prediction of red blood cell transfusion in patients during or after liver transplantation surgery. Front Med; 2021. DOI: 10.3389/fmed.2021.632210.

Luo JC*, Zhong J*, Duan WX*, et al. Early risk stratification of acute type A aortic dissection: development and validation of a predictive score. Cardiovasc Diagn Ther; 2020. DOI: 10.21037/cdt-20-730.

Zhao QY, Wang H, Luo JC*, et al. Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units. Front Med . 2021 May 17;8:676343. doi: 10.3389/fmed.2021.676343.

AI Medical Lab

HI THERE

Our team is made up of data analysts and clinicians who are working hard to combine cutting-edge AI technologies with clinical knowledge and translate these results into online models to help clinical practice.

Zhao QY*, Liu LP*, Luo JC*, et al. A machine-learning approach for dynamic prediction of sepsis-induced coagulopathy in critically ill patients with sepsis. Front Med; 2020. DOI: 10.3389/fmed.2020.637434.

Zhao QY*, Wang H*, Luo JC*, et al. Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units. Front Med . 2021 May 17;8:676343. doi: 10.3389/fmed.2021.676343.

Zhao QY, Liu LP, Luo JC*, et al. A machine-learning approach for dynamic prediction of sepsis-induced coagulopathy in critically ill patients with sepsis. Front Med; 2020. DOI: 10.3389/fmed.2020.637434.

Zhao QY, Wang H, Luo JC*, et al. Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units. Front Med . 2021 May 17;8:676343. doi: 10.3389/fmed.2021.676343.