Artificial intelligence‐assisted point‐of‐care testing system for ultrafast and quantitative detection of drug‐resistant bacteria

As one of the major causes antimicrobial resistance, β-lactamase develops rapidly among bacteria. Detection in an efficient and low-cost point-of-care testing (POCT) way is urgently needed. However, due to volatile environmental factors, quantitative measurement current POCT often inaccurate. Herein, we demonstrate artificial intelligence (AI)-assisted mobile health system that consists a paper-based fluorogenic probe analytical device smartphone-based AI cloud. An ultrafast broad-spectrum (B1) could respond within 20 s was first synthesized, detection limit determined be 0.13 nmol/L. Meanwhile, three-dimensional microfluidic fabricated for integration B1. Also, cloud developed correct errors automatically output results intelligently. This smart calibrate temperature pH level complex samples mice infected with various bacteria, which shows problem-solving ability interdisciplinary research, demonstrates potential clinical benefits.