Machine learning in endoscopic ultrasonography and the pancreas: The new frontier?

Figure 1 Potential benefit of artificial intelligence in pancreatic endoscopic ultrasonography. Current state of the pancreatic endoscopic ultrasonography (EUS) demonstrates that the procedure yields high resolution pancreatic imaging data, it is operator dependent, and allows acquisition of fine-needle aspiration (FNA) and fine-needle biopsy (FNB). Potentials with artificial intelligence (AI) implementation are utilizing of this higher resolution imaging data for training the algorithms with the readily available histologic ground truth from the FNA and FNB, as well as providing procedural assistance to address operator dependency.