Congratulations to Julien Calderaro of the Pawlotsky team on the publication of his latest study in the prestigious international journal *Annals of Oncology*

We are proud to announce the publication of our latest study, titled “A confidence-based, artificial intelligence pathology model for the diagnosis of intrahepatic cholangiocarcinoma,” in *Annals of Oncology*, a prestigious international journal and the official publication of the European Society for Medical Oncology (ESMO).

The diagnosis of intrahepatic cholangiocarcinoma (IHC) poses a major clinical challenge due to its histological resemblance to liver metastases from extrahepatic cancers. This ambiguity often leads to lengthy, costly, and invasive tests to rule out an occult primary site, thereby delaying treatment.

To address this challenge, Professor Julien Calderaro and Dr. Yue Cheng have developed AI2CCA, an innovative artificial intelligence model. Unlike traditional tools, this model incorporates a confidence estimation system based on predictive entropy.

This approach allows the AI to provide a diagnosis only when it reaches a high degree of certainty, ensuring exceptional reliability. The results speak for themselves: validated on international cohorts in France, India, and Korea, AI2CCA achieved accuracy scores (AUROC) of up to 1.00 in the French cohort. By reliably identifying iCCA as early as the initial biopsy, this tool helps avoid unnecessary testing and drastically speeds up patients’ access to treatment.

This recognition through publication in one of the leading journals in oncology validates the potential of our “trust-based” approach to transform digital pathology and improve personalized care in oncology.

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