The Field Artificial Intelligence Triage (FAIT) tool was evaluated for its ability to predict blood product transfusion need and volume (including massive and ultra-massive transfusion thresholds) in adult trauma patients (ages 18–60) with blunt, penetrating, or burn injuries, using pre-hospital (EMS) and ED vital signs plus external injury patterns from the 2020 ACS-TQIP registry.
FAIT predicted no transfusion need with AUC 0.91; transfusion volume predictions across all thresholds (>0, >4, >10, >20 units/4 h) achieved AUC 0.91–0.95 using EMS + ED inputs and AUC 0.87–0.91 with EMS vitals alone. Survival fell to 71% for >5 units, 62% for >10 units, and 35% for >50 units transfused.
- Registry data (TQIP 2020) may not capture real-time field constraints or resource availability. - Study population is limited to ages 18–60, excluding pediatric and elderly trauma patients. - Logistic regression with class-based weighting may underperform compared to more complex models in extreme outlier cases.
FAIT can identify, using only a few pre-hospital vitals and visible injury findings, which trauma patients are unlikely to need blood — enabling earlier, smarter activation of massive transfusion protocols and blood cooler preparation before hospital arrival. Clinicians and EMS systems should consider AI-assisted triage tools to streamline blood product logistics in high-acuity trauma.
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