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001-es BibID:	BIBFORM126074
035-os BibID:	(WOS)001323342700001 (Scopus)85205239003
Első szerző:	Pap, Iuliu Alexandru
Cím:	eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication / Iuliu Alexandru Pap, Stefan Oniga
Dátum:	2024
ISSN:	1424-8220
Megjegyzések:	In this paper, we present the implementation of an artificial intelligence health assistant designed to complement a previously built eHealth data acquisition system for helping both patients and medical staff. The assistant allows users to query medical information in a smarter, more natural way, respecting patient privacy and using secure communications through a chat style interface based on the Matrix decentralized open protocol. Assistant responses are constructed locally by an interchangeable large language model (LLM) that can form rich and complete answers like most humanmedical staff would. Restricted access to patient information and other related resources is provided to the LLM through various methods for it to be able to respond correctly based on specific patient data. The Matrix protocol allows deployments to be run in an open federation; hence, the system can be easily scaled.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok magyar nyelvű folyóiratközlemény külföldi lapban folyóiratcikk eHealth mHealth telehealth telemedicine remote patient monitoring Internet of Things artificial intelligence large language model Matrix open communication protocol
Megjelenés:	Sensors. - 24 : 18 (2024), p. 1-16. -
További szerzők:	Oniga István László (1960-) (villamosmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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