Machine learning-based predictive models for patients with venous thromboembolism: A Systematic Review

CONCLUSION: ML-CPMs show promise in improving risk assessment and individualized treatment recommendations in VTE. Apparently, there is an urgent need for standardized reporting and methodology for ML models, external validation, prospective and real-world data studies, as well as interventional studies to evaluate the impact of AI in VTE.PMID:38574756 | DOI:10.1055/a-2299-4758
Source: Thrombosis and Haemostasis - Category: Hematology Authors: Source Type: research