Urine Test

Urine testing is a non-invasive diagnostic tool with increasing applications, driven by efforts to improve speed, cost-effectiveness, and accessibility of medical screening. Current research focuses on developing automated analysis methods, particularly using machine learning algorithms like neural networks, to analyze both chemical parameters from test strips and microscopic images of urine sediment to detect various health conditions, including infectious diseases. The development of publicly available datasets and improved algorithms holds significant promise for accelerating diagnosis and improving healthcare access, especially in resource-limited settings.