Stigmatizing patient details can push AI to deprioritize high-risk emergency cases
Artificial intelligence (AI)-driven tools used in emergency triage may be susceptible to the same clinical stigmas associated with human assessments, researchers at UT Southwestern Medical Center reported in a study published in npj Digital Medicine. Their findings suggest this could result in harmful biases and wrongful prioritization of patients.
AI-driven emergency triage tools may reproduce the clinical stigmas seen in human assessments, risking biased and wrongful prioritization of patients.
Evidence
- JournalismMedical Xpress2026-10-20
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Truvace Impact Record TRV-2026-2085, v1: “Stigmatizing patient details can push AI to deprioritize high-risk emergency cases.” Truvace, 2026-10-21. /record/TRV-2026-2085 (accessed at citation time). sha256 1f38ef4af7da4672…
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