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The implementation of AIxURO™ at PathNet has delivered a comprehensive set of clinical and operational advantages by bridging the gap between digital pathology and automated analytical software. By integrating this tool into the daily workflow, the laboratory realized several key benefits:
Strategic Clinical Uses
Operational and Patient Benefits
PathNet’s success proves that the future of pathology lies in the synergy between human expertise and machine learning. By embedding AI within the existing digital workflow, PathNet has empowered its staff to work more efficiently and comfortably while setting a new global standard for patient care.
The laboratory conducted a comprehensive validation study involving 117 cases across a wide range of diagnostic categories (benign, AUC, HGUC). The results showed:
CorePlus has demonstrated that private laboratories can lead the way in adopting advanced AI technology. By prioritizing patient care and investing in digital tools, the lab has achieved unprecedented efficiency and diagnostic precision.
The implementation of the AI-driven workflow resulted in significant improvements:
Clinical use of AIxURO resulted in a 30–50% faster overall read time, improved sensitivity with moreobjective data for atypical cases, and a noticeably better user experience. The system is easy to use,avoids unnecessary features, integrates well with glass slides, and supports increased efficiency andgrowth in routine clinical practice.
An AI model trained to detect and enumerate circulating tumor cells in nonsmall cell lung cancer patients outperformed semiautomated methods, with higher sensitivity and significantly reduced review time (less than 20 minutes) for CTC enumeration in lung cancer specimens.
An artificial intelligence model that enumerates and classifies abnormal urothelial cells may improve urine cytology throughput, accuracy and reproducibility.
