Automatic Interpretation of Line Probe Assay Test for Tuberculosis
DOI:
https://doi.org/10.1609/aaai.v38i20.30191Keywords:
GeneralAbstract
Line Probe Assay (LPA) is a widely used method for diagnosing drug-resistant tuberculosis (DRTB), but it is a time-consuming and labor-intensive process that requires expert interpretation. DRTB is a significant threat to global TB control efforts and its prompt diagnosis is critical for initiating appropriate treatment. In this paper, we present an automated LPA test interpretation solution that uses computer vision techniques to extract and analyze strips from LPA sheets and uses machine learning algorithms to produce drug sensitivity and resistivity outcomes with extremely high precision and recall. We also develop OCR models to eliminate manual data entry to further reduce the overall time. Our solution comprises a rejection module that flags ambiguous and novel samples that are then referred to experienced lab technicians. This results in increased trust in the solution. To evaluate our solution, we curate an extensive and diverse dataset of LPA strips annotated by multiple microbiologists across India. Our solution achieves more than 95% accuracy for all drugs on this dataset. The proposed solution has the potential to increase the efficiency, standardization of LPA test interpretation, and fast-tracking the dissemination of results to end-users via a designated Management Information System (MIS).Downloads
Published
2024-03-24
How to Cite
Agrawal, J., Kumar, M., Tiwari, A., Danisetty, S., Dhavala, S., Jain, N., Balraj, P., Singh, N., Shingi, S., Kurada, J., Rao, R., Anand, S., & Kumar, N. (2024). Automatic Interpretation of Line Probe Assay Test for Tuberculosis. Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), 21897-21904. https://doi.org/10.1609/aaai.v38i20.30191
Issue
Section
AAAI Technical Track on AI for Social Impact Track