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Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence
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DOI：10.1038/s41467-023-36017-x.png)
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Abstract
En 中文
The frequent outbreak of global infectious diseases has prompted the development of rapid and effective diagnostic tools for the early screening of potential patients in point-of-care testing scenarios. With advances in mobile computing power and microfluidic technology, the smartphone-based mobile health platform has drawn significant attention from researchers developing point-of-care testing devices that integrate microfluidic optical detection with artificial intelligence analysis. In this article, we summarize recent progress in these mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms. We document the application of mobile health platforms in terms of the detection objects, including molecules, viruses, cells, and parasites. Finally, we discuss the prospects for future development of mobile health platforms. Smartphone-based mobile health platforms have drawn increasing attention from researchers developing point-of-care testing devices. Here the authors summarize recent progress and future directions of approaches combining microfluidics and artificial intelligence.
Keywords:
COLORIMETRIC DETECTION
LOW-COST
DIAGNOSIS
DEVICE
BLOOD
MICROSCOPE
INTERFACE
NETWORK
SYSTEM
ARRAYS
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