Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study

New paper out! We are thrilled to announce a pivotal achievement with our latest publication in the esteemed Cancers (a first quartile journal – Q1 Oncology ). In collaboration with Hospital Universitario Puerta de Hierro Majadahonda, our international study featuring the SmartCholangio technology has yielded exceptional results.

In our paper, “Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study”, our cutting-edge convolutional neural network has proven its prowess in distinguishing between benign and malignant biliary strictures.

This marks a significant step forward in enhancing the diagnostic accuracy of Digital Single-Operator Cholangioscopy, ultimately improving our ability to identify malignant strictures.

The article can be found here.

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