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.
SICURA: A Symbiotic AI System to Support Pharmacological Management
Raffaele Manna;Giulia Speranza;Maria Pia di Buono;
2025-01-01
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.File in questo prodotto:
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