AI Medical Compendium Journal:
Seminars in thrombosis and hemostasis

Showing 1 to 4 of 4 articles

Machine Learning as a Diagnostic and Prognostic Tool for Predicting Thrombosis in Cancer Patients: A Systematic Review.

Seminars in thrombosis and hemostasis
Khorana score (KS) is an established risk assessment model for predicting cancer-associated thrombosis. However, it ignores several risk factors and has poor predictability in some cancer types. Machine learning (ML) is a novel technique used for the...

Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management.

Seminars in thrombosis and hemostasis
Thrombosis development in either arterial or venous system remains a major cause of death and disability worldwide. This poorly controlled in vivo clotting could result in many severe complications including myocardial infarction, venous thromboembol...