An AI-Driven Antimicrobial Resistance Surveillance Framework for Low-Resource Settings: A Pilot Study from Mogadishu, Somalia
High-sensitivity AI models utilizing minimal metadata offer a potentially scalable triage-support approach for MDR surveillance in deeply resource-constrained health systems and highlight the necessity of implementing digital epidemiological tracking, alongside external validation and benchmarking against alternative a...