Microfluidic chips are the dominant choice for sample processing on mHealth platforms, which are increasingly adapted to artificial intelligence algorithms. POCT detection on mHealth platforms is used to obtain intuitive detection results so that inspectors can directly identify them. In recent years, more and more microfluidic chip designs have emerged for analysis by artificial intelligence algorithms. The hardware structure of the mHealth platform is essential, as it can reduce cost and simplify the operation process, which is beneficial in resource-limited areas.
