Enhancing Pancreatic Cystic Lesion Diagnosis with AI-Driven Radiomics
Enhancing Pancreatic Cystic Lesion Diagnosis with AI-Driven Radiomics In today’s medical imaging landscape, the accurate classification of pancreatic cystic lesions (PCLs) remains a significant challenge in radiological oncology. Our recent multicenter study, entitled “Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study” and just published in the Journal of Imaging, […]
Advancing early diagnosis with AI: the completion of the DARE-KPL Project
Advancing early diagnosis with AI: the completion of the DARE-KPL Project We are excited to announce the successful completion of the DARE-KPL project, a groundbreaking initiative developed under the Eurostars program (Eurostars-3 Call 2, num. 1661). This achievement was made possible through close collaboration with the Radiological Department at the University Hospital Erlangen in Germany and deepc, an […]
