LbpA.I. for Cervical Cytology is an advanced AI-driven system that automatically captures and reconstructs high-resolution, full-slide digital images from liquid-based cytology specimens. Leveraging powerful deep learning algorithms, it performs rapid and comprehensive screening, accurately identifying and localizing a wide spectrum of potentially abnormal epithelial cells, inflammatory cells, and pathogenic microorganisms. By automatically triaging negative cases, LbpA.I. significantly reduces the workload of cytopathologists while maintaining high diagnostic sensitivity.

Clinicians benefit from an intuitive interface that highlights suspicious cells for quick visual verification, streamlining the diagnostic workflow and enabling faster report turnaround. The system is trained on a robust dataset comprising over one million expertly annotated fields of view and cellular images, allowing for the high-precision classification of more than ten clinically significant cell types and microorganisms.

Tailored for the specific demands of cervical cytology, LbpA.I. enhances diagnostic accuracy, supports early detection of cervical lesions, and promotes standardization in cytological evaluation.