Publications by authors named "M P Martin Gonzalez-Haba"
Article Synopsis
- Endoscopic ultrasound (EUS) is an important tool for evaluating pancreatic lesions, but its accuracy is not very high, prompting the development of a convolutional neural network (CNN) to improve diagnosis of pancreatic cystic neoplasms (PCN) and pancreatic solid lesions (PSL).
- The CNN was trained on a large dataset from four international centers, comprising over 126,000 images, and successfully distinguished between different types of pancreatic lesions with high accuracy.
- The results showed the CNN achieved over 99% accuracy for normal pancreatic tissue and PCNs, while distinguishing between pancreatic ductal adenocarcinoma (P-DAC) and neuroendocrine tumors (P-NET) at 94% accuracy, pointing to the
Background: Recurrent acute cholangitis (RAC) is a relatively uncommon entity that presents significant management difficulties. We present the case of a patient with RAC in whom the number of episodes was reduced after a novel therapeutic procedure.
Case Report: A 93-year-old male who in June 2019 was admitted for chills without fever, shivering, epigastric abdominal pain and moderate jaundice.
Digital single-operator cholangioscopy (D-SOC) has enhanced the ability to diagnose indeterminate biliary strictures (BSs). Pilot studies using artificial intelligence (AI) models in D-SOC demonstrated promising results. Our group aimed to develop a convolutional neural network (CNN) for the identification and morphological characterization of malignant BSs in D-SOC.
View Article and Find Full Text PDFWe report the case of a 37 years old woman who presented to emergency department because of a 3 days history of abdominal disconfort and distension. After physical examination and a CT scan of the abdomen she was diagnosed of Distal Intestinal Obstruction Syndrome (DIOS) in the context of her underlying cystic fibrosis. Conservative management was attempted with no improvement.
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