Area of research
Artificial Intelligence · Radiology, Nuclear Medicine and Imaging
Research interest
Research interests include Gastroenterology, Medicine, Workflow, Internal medicine, Delphi method, and Likert scale.
Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade
Clinical Data Do Not Reliably Predict Duodenal Histology at Follow-up in Celiac Disease
Leveraging artificial intelligence to predict ERG gene fusion status in prostate cancer
Hypermucinous, Goblet Cell-Deficient and Crypt Cell Dysplasias in Inflammatory Bowel Disease are Often Associated with Flat/Invisible Endoscopic Appearance and Advanced Neoplasia on Follow-Up
Gastrointestinal stromal tumors (GISTs) arising in uncommon locations: clinicopathologic features and risk assessment of esophageal, colonic, and appendiceal GISTs
Display Characteristics and Their Impact on Digital Pathology: A Current Review of Pathologists’ Future “Microscope”
The diagnosis of clinically significant oesophageal<i>Candida</i>infections: a reappraisal of clinicopathological findings