The role of artificial intelligence and deep learning in determining the histopathological grade of pancreatic neuroendocrine tumors by using EUS images 

Brief abstract
A study of Artificial Intelligence’s suitability in providing a predictive grade of pancreatic neuroendocrine tumors (pNETs) from endoscopic ultrasound (EUS) images.

Citation
Kiremitci S, Seven G, Silahtaroglu G, Kochan K, Degirmencioglu T, Senturk H. The role of artificial intelligence and deep learning in determining the histopathological grade of pancreatic neuroendocrine tumors by using EUS images. Endosc Ultrasound. 2025 Mar-Apr;14(2):48-56. doi:10.1097/eus.0000000000000113.