Author

Agnese Sbrollini

2 papers indexed here

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Machine Learning for Prehospital Electrocardiogram Diagnosis of Acute Coronary Syndrome

Overall, RS&LP demonstrated superior discriminative ability and generalizability, supporting its potential for clinical use, and future studies should validate these findings in larger multicenter cohorts to further improve ACS diagnosis and management directly in the ambulance.

Agnese Sbrollini, C. T. ter Haar, L. Burattini et al. · 0 citations

#generative ai Open access Sep 2026

GENERATIVE AI FOR HIRSCHSPRUNG DISEASE: CAN SYNTHETIC FLUORESCENCE CONFOCAL MICROSCOPY IMAGES ENHANCE INTRAOPERATIVE DETECTION OF GANGLIONIC BOWEL?

Synthetic augmentation with cGAN-generated ganglionic tiles significantly improved CNN discrimination of ganglionic bowel on real FCM images, supporting generative-AI as a scalable strategy to strengthen DL for discriminating ganglionic bowel in HD.

D. Di Fabrizio, Agnese Sbrollini, E. Bindi et al. · Journal of Pediatric Surgery · 0 citations