eHealth is one of the major research topics that are attracting cross-disciplinary research groups. The deployment of new emerging technologies for Health, especially based on Artificial Intelligence, is attracting the interest of many researchers. 2023 IEEE 19th International Conference on e-Science (e-Science) | 979-8-3503-2223-1/23/$31.00 ©2023 IEEE | DOI: 10.1109/E-SCIENCE58273.2023.10254936 The workshop on Artificial Intelligence for Health (AI4Health 2023) brings together researchers from academia, industry, government, and medical centers to present state-of-theart and discuss the latest advances in the emerging area of the use of artificial intelligence and soft computing techniques, be they black boxes or explanation-based, to signals, images, and data in the fields of medicine, healthcare, and wellbeing. AI4Health covers a large range of theoretical and practical aspects, technologies, and systems related to the application of artificial intelligence and soft computing methodologies to issues such as machine learning, deep learning, knowledge discovery, decision support, classification, regression, forecasting, optimization, and feature selection in the healthcare and wellbeing domain.

AI4Health 2023 Workshop

Sannino G.
Primo
;
De Falco I.;
2023

Abstract

eHealth is one of the major research topics that are attracting cross-disciplinary research groups. The deployment of new emerging technologies for Health, especially based on Artificial Intelligence, is attracting the interest of many researchers. 2023 IEEE 19th International Conference on e-Science (e-Science) | 979-8-3503-2223-1/23/$31.00 ©2023 IEEE | DOI: 10.1109/E-SCIENCE58273.2023.10254936 The workshop on Artificial Intelligence for Health (AI4Health 2023) brings together researchers from academia, industry, government, and medical centers to present state-of-theart and discuss the latest advances in the emerging area of the use of artificial intelligence and soft computing techniques, be they black boxes or explanation-based, to signals, images, and data in the fields of medicine, healthcare, and wellbeing. AI4Health covers a large range of theoretical and practical aspects, technologies, and systems related to the application of artificial intelligence and soft computing methodologies to issues such as machine learning, deep learning, knowledge discovery, decision support, classification, regression, forecasting, optimization, and feature selection in the healthcare and wellbeing domain.
2023
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
eHealth
Artificial Intelligence
File in questo prodotto:
File Dimensione Formato  
10254936.pdf

solo utenti autorizzati

Tipologia: Versione Editoriale (PDF)
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 151.57 kB
Formato Adobe PDF
151.57 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/532753
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact