Machine learning and clinician predictions of antibiotic resistance in Enterobacterales bloodstream infections

Patients with Gram-negative bloodstream infections are at risk of serious adverse outcomes without active treatment, but identifying who has antimicrobial resistance (AMR) to target empirical treatment is challenging.