CER Fact Checking
🩺🔍 CER Demo: Fact-Checking Biomedical Claims.
Artificial Intelligence, Generative AI, Large Language Models, Biomedical NLP, Medical Question Answering, Generative Agent-based Modeling, Recommender System, Social Networks
The PRAISE (PRedictive AnalytIcs for underStanding big multimEdia data) research group is part of the PICUS Lab at the Department of Electrical Engineering and Information Technologies (DIETI), University of Naples Federico II, Italy.
We are a team of researchers with a strong background in AI, multimodal data understanding, and predictive analytics across multiple domains including eHealth, Social Network Analysis, and Multimedia Data Analysis.
Our goal is to develop intelligent systems that can understand, predict, and interact with complex multimedia information—especially focusing on language, vision, and their integration.
Multimodal AI for Healthcare
Social Network Modeling & Simulation
Lie Detection from Multimedia Streams
Big Scholarly Data Analytics
We are currently developing fine-tuned multimodal language models for the Italian medical domain, in collaboration with national (e.g., Accenture, Almaviva) and international partners (e.g., King’s College London).
Our models integrate textual and visual medical data to support clinical tasks in real-world applications.
Giuseppe Riccio |
Antonio Romano |
Gian Marco Orlando |
Diego Russo |
Mariano Barone |