Case Study: LungLife AI achieves 70% faster lung cancer detection with Persistent Systems

Saving lives by improving early-stage lung cancer detection rates by 70%

LungLife AI, an American diagnostics company focused on early lung cancer detection, faced the challenge of analyzing up to 15,000 microscopic images per patient. Manual review was slow and error-prone, causing delayed diagnoses, higher false positives, and missed circulating tumor cell diagnostics. Persistent Systems helped address this with AI and machine learning capabilities for their diagnostic workflow.

Persistent Systems developed a deep learning-based segmentation model, along with annotation tools and a UI for verifying and classifying cells into circulating tumor cells, single gain cells, single deletion cells, and normal cells. The solution reduced diagnosis time by about 70% and cut false positives by 62%, significantly improving accuracy and supporting faster early-stage lung cancer detection.

LungLife AI