Diagnosis of soil-transmitted helminth infections with digital mobile microscopy and artificial intelligence in a resource-limited setting.
Johan LundinAntti SuutalaOscar HolmströmSamuel HenrikssonSeveri ValkamoHarrison KainguFelix KinyuaMartin MuindeMikael LundinVinod DiwanAndreas MårtenssonNina LinderPublished in: PLoS neglected tropical diseases (2024)
Analysis of digitally scanned stool samples with the DLS provided high diagnostic accuracy for detection of STHs. Importantly, a substantial number of light intensity infections were missed by manual microscopy but detected by the DLS. Thus, analysis of WSIs with image-based AI may provide a future tool for improved detection of STHs in a primary healthcare setting, which in turn could facilitate monitoring and evaluation of control programs.
Keyphrases
- artificial intelligence
- label free
- deep learning
- machine learning
- healthcare
- big data
- single molecule
- high resolution
- loop mediated isothermal amplification
- high speed
- real time pcr
- high throughput
- optical coherence tomography
- public health
- high intensity
- sensitive detection
- living cells
- fluorescent probe
- health information