Public articles linked to the same research event.
npj Digital Medicine The study introduces a domain-agnostic paired-comparison approach that fine-tunes a large language model to emulate documented emergency triage decisions and then compares predictions on sex-swapped pairs in which only sex is flipped while documented clinical content is held constant, finding that otherwise identical presentations were more likely to receive a lower-severity (less urgent) predicted triage score as female than male, with a pooled per-pair rate of about 1.1% (95% CI 0.9–1.3) across more than 140,000 Bordeaux University Hospital admissions and a directionally consistent but larger 2.2% (1.7–2.7) in MIMIC-IV, while a model retrained on sex-neutralized inputs eliminated the between-sex prediction gap, indicating the asymmetry is mediated by explicit sex markers.
The study introduces a domain-agnostic paired-comparison approach that fine-tunes a large language model to emulate documented emergency triage decisions and then compares predictions on sex-swapped pairs in which only sex is flipped while documented clinical content is held constant, finding that otherwise identical presentations were more likely to receive a lower-severity (less urgent) predicted triage score as female than male, with a pooled per-pair rate of about 1.1% (95% CI 0.9–1.3) across more than 140,000 Bordeaux University Hospital admissions and a directionally consistent but larger 2.2% (1.7–2.7) in MIMIC-IV, while a model retrained on sex-neutralized inputs eliminated the between-sex prediction gap, indicating the asymmetry is mediated by explicit sex markers.
The study introduces a domain-agnostic paired-comparison approach that fine-tunes a large language model to emulate documented emergency triage decisions and then compares predictions on sex-swapped pairs in which only sex is flipped while documented clinical content is held constant, finding that otherwise identical presentations were more likely to receive a lower-severity (less urgent) predicted triage score as female than male, with a pooled per-pair rate of about 1.1% (95% CI 0.9–1.3) across more than 140,000 Bordeaux University Hospital admissions and a directionally consistent but larger 2.2% (1.7–2.7) in MIMIC-IV, while a model retrained on sex-neutralized inputs eliminated the between-sex prediction gap, indicating the asymmetry is mediated by explicit sex markers.
The study introduces a domain-agnostic paired-comparison approach that fine-tunes a large language model to emulate documented emergency triage decisions and then compares predictions on sex-swapped pairs in which only sex is flipped while documented clinical content is held constant, finding that otherwise identical presentations were more likely to receive a lower-severity (less urgent) predicted triage score as female than male, with a pooled per-pair rate of about 1.1% (95% CI 0.9–1.3) across more than 140,000 Bordeaux University Hospital admissions and a directionally consistent but larger 2.2% (1.7–2.7) in MIMIC-IV, while a model retrained on sex-neutralized inputs eliminated the between-sex prediction gap, indicating the asymmetry is mediated by explicit sex markers.