This contribution briefly describes the research being carried out in the Computational Intelligence Laboratory of the Department of Computer Science, University of Bari Aldo Moro, in AI-based e-health. Our research encompasses a wide array of methodologies and applications aimed at leveraging the capability of AI to empower the diagnosis, monitoring, and treatment of various health conditions. Through multifaceted research that covers neuroimaging analysis, acoustic signal processing, and vital parameter monitoring, our goal is to shed light on the potential of AI in enhancing healthcare services.
Advancing e-health with AI: Insights from our research experience in neuroimaging, acoustic signals, and vital parameter monitoring
Gabriella Casalino;Giovanna Castellano
;Gennaro Vessio;Gianluca Zaza
2024-01-01
Abstract
This contribution briefly describes the research being carried out in the Computational Intelligence Laboratory of the Department of Computer Science, University of Bari Aldo Moro, in AI-based e-health. Our research encompasses a wide array of methodologies and applications aimed at leveraging the capability of AI to empower the diagnosis, monitoring, and treatment of various health conditions. Through multifaceted research that covers neuroimaging analysis, acoustic signal processing, and vital parameter monitoring, our goal is to shed light on the potential of AI in enhancing healthcare services.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
