DxTB highlights regions of a chest X-ray that have specific abnormalities associated with tuberculosis (TB) and helps radiologists to prioritize and reduce their workload. DxTB is an adaptive system that evolves over time based on every new X-ray read in the field. DxTB also automatically generates Radiological Society of North America (RSNA) standard radiology reports.

Target Setting

Primary health centers, general hospital (above primary level), teleradiology companies, government/public sector, e.g. national TB program, and private sector. An automated solution or a teleradiology-backed AI diagnosis and report is provided depending on the situation.

Current Market

India, Asia Pacific, and Africa. Future market (after CE/FDA certification): the USA, Europe and Japan

Output

Structured report including: 

»» Heat map, 

»» Probability score for TB, 

»» Probability score for the following pulmonary abnormalities: abscess, airfluid level, atelectasis, blunted costophrenic angle, bronchiectasis, calcification, cavity, consolidation, fibrosis, interstitial markings, loculated pleural effusion, lymphadenopathy, mass, nodule, opacity, pleural effusion, prominence in hilar region, pneumothorax, tracheal shift, granuloma, calcified pleural plaques. 

»» Location of certain abnormalities. 

»» Binary outputs using client-specific threshold scores.

Data Sharing & Privacy

»» Server Location: local installation either in cloud or on-premises possible

»» X-ray and if available patient’s clinical data are uploaded to a cloud platform. If the client provides consent, data is shared with the developer in an anonymized form to improve the models. HIPPA guidelines are followed.

»» There is an option to de-identify data

Price

»» Volume-based pricing models are available

»» Please contact company for quote: Aniruddha Pant at

Publications

»» Kulkarni V, Kulkarni M, Pant A. Survey of personalization techniques for federated learning. arXiv preprint arXiv:2003.08673. 2020. https://arxiv.org/abs/2003.08673.