M. Tuberculosis Detection Solution
Tuberculosis (TB) is one of the top ten causes of death and the leading cause from a single infectious agent (above HIV/AIDS). Sputum smear microscopy (SSM) has been the primary method of diagnosis of tuberculosis because of its simplicity and associated low costs. However, manual reading of stained slides is time-consuming and exposes doctors to potential risk of infection. KFBIO uses its pathology scanning systems to digitize SSM slides as high resolution images and then apply deep learning (DL) algorithms to support the diagnosis of M. TB infection.
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- Deep Learning based screening solution assists diagnosis of M. Tuberculosis
Accelerating machine screening of specimens using AI technologies can increase the number of specimens screened and potentially alert physicians to patient concerns more quickly than manual methods alone.
- KFBIO M.TB solution accelerated by Intel AI technology delivers fast results
Optimized algorithms based on Intel PyTorch 1.6 and Intel® Xeon® Scalable processor provides end-to-end capability involving digitizing specimen slides, performing AI inferencing, visualizing results and producing diagnosis reports.