Assessment of Artificial Intelligence Algorithms for ROTEM

A structured artificial intelligence-based evaluation system that analyzes ROTEM (Rotational Thromboelastometry) parameters and provides treatment recommendations. ROTEM case data are converted into standardized clinical scenarios and evaluated by AI models using a predefined template. The AI output is compared to the consensus of expert clinicians regarding the presence and type of coagulopathy and the need for therapeutic intervention (e.g., fibrinogen, protamine, platelets, PCC, plasma). This intervention does not involve any patient-facing activity and is performed on de-identified data only.