Stigmatizing patient details can push AI to deprioritize high-risk emergency cases

Artificial quality (AI)-driven tools utilized successful exigency triage whitethorn beryllium susceptible to the aforesaid objective stigmas associated with quality assessments, researchers astatine UT Southwestern Medical Center reported successful a survey published successful npj Digital Medicine. Their findings suggest this could effect successful harmful biases and wrongful prioritization of patients.