Why the study?
Do artificial intelligence models improve the accuracy of diagnostic and prognostic prediction of venous thromboembolism compared to conventional risk models?
Do artificial intelligence models improve the accuracy of diagnostic and prognostic prediction of venous thromboembolism compared to conventional risk models?
AI models show promise in improving VTE prediction accuracy over conventional models, but current evidence is limited by a high risk of bias.
AI may enhance VTE prediction accuracy; high bias leaves open reliable superiority pending low-risk validation studies.
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.
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Chiasakul et al. (2023) studied this question.
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