The information is fed into the AI algorithm for learning purposes through the early-stage Digital pathology slide browsing and labeling system, where sub-classification model research project models are calibrated to improve their reliability and validity.
Solutions
Collect, cleanse, convert, and complete big data OLAP (Online analytical processing) analytical model and algorithm learning for the real-time and historical data development operating program of the hospital’s pathological examination, as well as implement an examination operating data analysis system, provide a real-time monitoring dashboard, and big data report query function.
Performance
The real-time monitoring dashboard and big data report allow the management unit to grasp the status of the examination. Furthermore, the algorithm model is derived from AI learning and used for preliminary classification and labeling, saving up to 50% early-stage interpretation manpower.