Riccardo Bellazzi

Semantic knowledge improves molecular machine learning for chemical toxicity prediction

Giuseppe Albi, Arianna Dagliati, Riccardo Bellazzi, Joseph D. Romano

Evaluating large language models for structuring cardiology reports: a real-world clinical study on patient subtyping and trial recruitment

F. Pescol, T. Buonocore, V. Tibollo, G. Failla, E. Traversi, Maria Teresa La Rovere, et al.

TL;DR: This study presents a notable step towards the integration of AI-driven approaches into real-world clinical practice for patient recruitment in CTs, highlighting both its practicality and effectiveness in meeting the stringent demands of healthcare settings.

BACKGROUND Artificial Intelligence (AI) methods have emerged as useful tools for supporting patient recruitment in clinical trials (CTs). Despite several studies having recently proposed promising applications of Large Language Model (LLMs) for patient recruitment in CTs, their i…Read more