Data di Pubblicazione:
2025
Abstract:
This paper describes the development of an AI-driven decision-making support system designed to assist health
care professionals in managingpharmacologicalprescriptionsanddruginteractions, withafocusoncardiovascular
diseases. The system utilizes Tiny Language Models (TLMs) to improve patient safety, treatment effectiveness,
and reduce medication errors. The main objective is to symbiotically support the healthcare professionals by
leveraging the artificial intelligence system’s ability to rapidly and precisely retrieve and extract information.
care professionals in managingpharmacologicalprescriptionsanddruginteractions, withafocusoncardiovascular
diseases. The system utilizes Tiny Language Models (TLMs) to improve patient safety, treatment effectiveness,
and reduce medication errors. The main objective is to symbiotically support the healthcare professionals by
leveraging the artificial intelligence system’s ability to rapidly and precisely retrieve and extract information.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Manna, Raffaele; Speranza, Giulia; Di Buono, Maria Pia; Troia, Gianmarco; Vizzini, Giovanni
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Link al Full Text:
Titolo del libro:
Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, organized by CINI (Ital-IA 2025)