Artificial intelligence in the prediction of venous thromboembolism: A systematic review and pooled analysis.

Thita Chiasakul Barbara D LamMegan McNicholWilliam RobertsonRachel P RosovskyLeslie LakeIoannis S VlachosAlys AdamskiNimia ReyesKaron AbeJeffrey I ZwickerRushad Patell

Published in: European journal of haematology (2023)

The use of AI appears to improve the accuracy of diagnostic and prognostic prediction of VTE over conventional risk models; however, there was a high risk of bias observed across studies. Future studies should focus on transparent reporting, external validation, and clinical application of these models.

Keyphrases

artificial intelligence
venous thromboembolism
machine learning
big data
deep learning
direct oral anticoagulants
case control
adverse drug