A machine‑learning model named CarbaDetector was reported to detect carbapenemase‑producing Enterobacterales (CPE) directly from disk diffusion antibiotic susceptibility tests. The algorithm addresses a pressing antimicrobial‑resistance diagnostic gap by identifying enzyme‑mediated resistance that often requires specialized tests. Early performance metrics indicate high accuracy on validation sets, promising faster laboratory triage and infection‑control decisions. Authors note external, multi‑site validation and integration with clinical microbiology workflows will be critical before deployment.