AI powered web app helping doctors with the cumbersome and highly time-consuming medical procedure: evaluating the quality of pancreatic islets for surgical transplantation. We proudly cooperate with the Institute for Clinical and Experimental Medicine (IKEM).


Since 2017, IsletNet has been developed and tested during actual transplantations. The produced results are consistent and the final reports are easy to process and save. The whole application environment is user-friendly with a short learning curve.

Data collected from multiple experts shows that the islet volume predictions made by IsletNet are highly correlated — the coefficient of determination (R^2) is more than 0.99. Furthermore, we compare the IsletNet predictions with expert predictions, pixel by pixel. An aggregated F1-score greater than 0.9 shows that the system has a human-like precision.


IsletNet uses AI/ML technologies including deep neural networks and advanced computer vision algorithms. This combination creates a unique, precise and reliable solution.

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