2026-09-19T23:12:35Zhttps://iris.polito.it/oai/requestoai:iris.polito.it:11583/29999282026-02-19T13:40:20Zcom_11583_2614433com_11583_2614425col_11583_2614423
Multimodal AI Tools for Predicting Neurological and Neurodevelopmental Trajectories
SHAH, SYED TAIMOOR HUSSAIN
Shah, Syed Taimoor Hussain
DERIU, MARCO AGOSTINO
MORBIDUCCI, UMBERTO
Neonatal care
AI in healthcare
machine learning
deep learning
NICU monitoring
wearable sensor
motion tracking
vocal assessment
facial recognition
explainable AI
early diagnosis
Settore IBIO-01/A - Bioingegneria
L'abstract è presente nell'allegato / the abstract is in the attachment
2025-04-15
info:eu-repo/semantics/doctoralThesis
https://hdl.handle.net/11583/2999928
http://dx.doi.org/10.13121/polito/porto/2999928
10.13121/polito/porto/2999928
eng
firstpage:1
lastpage:236
numberofpages:236
info:eu-repo/semantics/openAccess
Politecnico di Torino
country:Italy
license:Creative commons
license:Creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/
license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/