TY - CHAP
T1 - Applications of AI and HPC in the Health Domain
AU - Oniga, Dana
AU - Cantalupo, Barbara
AU - Tartaglione, Enzo
AU - Perlo, Daniele
AU - Grangetto, Marco
AU - Aldinucci, Marco
AU - Bolelli, Federico
AU - Pollastri, Federico
AU - Cancilla, Michele
AU - Canalini, Laura
AU - Grana, Costantino
AU - Alcalde, Cristina Muñoz
AU - Cardillo, Franco Alberto
AU - Florea, Monica
N1 - Publisher Copyright:
© 2022 selection and editorial matter, Olivier Terzo and Jan Martinovic; individual chapters, the contributors.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - This chapter presents the applications of artificial intelligence (AI) and high-computing performance (HPC) in the health domain, illustrated by the description of five of the use cases that are developed in the DeepHealth project. In the context of the European Commission supporting the use of AI and HPC in the health sector, DeepHealth Project is helping health experts process large quantities of images, putting at their disposal DeepLearning and computer vision techniques, combined in the DeepHealth toolkit and HPC infrastructures. The DeepHealth toolkit is tested and validated through 15 use cases, each of them representing a biomedical application. The most promising use cases are described in the chapter, which concludes with the value proposition and the benefits that DeepHealth toolkit offers to future end users.
AB - This chapter presents the applications of artificial intelligence (AI) and high-computing performance (HPC) in the health domain, illustrated by the description of five of the use cases that are developed in the DeepHealth project. In the context of the European Commission supporting the use of AI and HPC in the health sector, DeepHealth Project is helping health experts process large quantities of images, putting at their disposal DeepLearning and computer vision techniques, combined in the DeepHealth toolkit and HPC infrastructures. The DeepHealth toolkit is tested and validated through 15 use cases, each of them representing a biomedical application. The most promising use cases are described in the chapter, which concludes with the value proposition and the benefits that DeepHealth toolkit offers to future end users.
UR - http://www.scopus.com/inward/record.url?scp=85135793095&partnerID=8YFLogxK
U2 - 10.1201/9781003176664-11
DO - 10.1201/9781003176664-11
M3 - Chapter
AN - SCOPUS:85135793095
SN - 9781032009841
SP - 217
EP - 239
BT - HPC, Big Data, and AI Convergence Towards Exascale
PB - CRC Press
ER -