Ignesti G., Bruno A., Deri C., D'Angelo G., Bastiani L., Pratali L., Memmini S: Cicalini D., Dini A., Galesi G., Pardini F., Tampucci M., Benassi A., Salvetti O., Moroni D., Martinelli M.
Telemedicine Multi-pathology-and-Multi-parametric-Monitoring Artificial-Intelligence Machine-Learning Decision-Support-System Point-of-care-devices
The combination of pervasive sensing and multimedia understanding with the advances in communications makes it possible to conceive platforms of services for providing telehealth solutions responding to the current needs of society. The recent outbreak has indeed posed several concerns on the management of patients at home, urging to devise complex pathways to address the Severe Acute Respiratory Syndrome (SARS) in combination with the usual diseases of an increasingly elder population. In this paper, we present TiAssisto, a project aiming to design, develop, and validate an innovative and intelligent platform of services, having as its main objective to assist both Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) multi-pathological patients and healthcare professionals. This is achieved by researching and validating new methods to improve their lives and reduce avoidable hospitalisations. TiAssisto features telehealth and telemedicine solutions to enable high-quality standards treatments based on Information and Communication Technologies (ICT), Artificial Intelligence (AI) and Machine Learning (ML). Three hundred patients are involvedin our study: one half using our telehealth platform, while the other half participate as a control group for a correct validation. The developed AI models and the Decision Support System assist General Practitioners (GPs) and other healthcare professionals in order to help them in their diagnosis, by providing suggestions and pointing out possible presence or absence of signs that can be related to pathologies. Deep learning techniques are also used to detect the absence or presence of specific signs in lung ultrasound images.
Source: SITIS 2022 - 16th International Conference on Signal Image Technology & Internet Based Systems, pp. 553–560, Dijon, France, 18-22/10/2022
Publisher: IEEE, New York, USA
@inproceedings{oai:it.cnr:prodotti:471254, title = {An intelligent platform of services based on multimedia understanding and telehealth for supporting the management of SARS-CoV-2 multi-pathological patients}, author = {Ignesti G. and Bruno A. and Deri C. and D'Angelo G. and Bastiani L. and Pratali L. and Memmini S: Cicalini D. and Dini A. and Galesi G. and Pardini F. and Tampucci M. and Benassi A. and Salvetti O. and Moroni D. and Martinelli M.}, publisher = {IEEE, New York, USA}, doi = {10.1109/sitis57111.2022.00089}, booktitle = {SITIS 2022 - 16th International Conference on Signal Image Technology \& Internet Based Systems, pp. 553–560, Dijon, France, 18-22/10/2022}, year = {2022} }
Bastiani, Luca
Benassi, Antonio
Bruno, Antonio
0000-0002-9152-8112
D'Angelo, Gennaro
Galesi, Giulio
0000-0001-6185-0795
Ignesti, Giacomo
Martinelli, Massimo
0000-0001-7419-5099
Moroni, Davide
0000-0002-5175-5126
Pardini, Francesca
0000-0002-4324-2718
Pratali, Lorenza
Salvetti, Ovidio
0000-0002-9539-692X
Tampucci, Marco
0000-0001-5550-9881