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Virtual hospital and artificial intelligence: a first step towards the application of an innovative health system for the care of rare cerebrovascular diseases.
Rifino, Nicola; Bersano, Anna; Padovani, Alessandro; Conti, Giancarlo Maria; Cavallini, Anna; Colombo, Luca; Priori, Alberto; Pianese, Raffaella; Gammone, Maria Rosaria; Erbetta, Alessandra; Ciceri, Elisa Francesca; Sattin, Davide; Varvello, Riccardo; Parati, Eugenio Agostino; Scelzo, Emma.
Afiliación
  • Rifino N; Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy. nicola.rifino@istituto-besta.it.
  • Bersano A; Cerebrovascular Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Via Celoria 11, 20133, Milan, Italy.
  • Padovani A; Department of Clinical and Experimental Sciences, Neurology Clinic, University of Brescia, Brescia, Italy.
  • Conti GM; Department of Neurology, ASST Nord Milano, Ospedale Bassini, Cinisello Balsamo, Italy.
  • Cavallini A; Cerebrovascular Disease and Stroke Unit, IRCCS Fondazione Mondino, Pavia, Italy.
  • Colombo L; University of Milan, Milan, Italy.
  • Priori A; Department of Neurology, Ospedale San Paolo, Milan, Italy.
  • Pianese R; S.I.T.R.A, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Gammone MR; S.I.T.R.A, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Erbetta A; Service of Neuroradiology, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Ciceri EF; Diagnostic Radiology and Interventional Neuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
  • Sattin D; Istituti Clinici Scientifici Maugeri IRCCS Via Camaldoli 64, 20138, Milan, Italy.
  • Varvello R; La Nava srl, Aosta, Italy.
  • Parati EA; Istituti Clinici Scientifici Maugeri IRCCS Via Camaldoli 64, 20138, Milan, Italy.
  • Scelzo E; Department of Neurology, Ospedale San Paolo, Milan, Italy.
Neurol Sci ; 45(5): 2087-2095, 2024 May.
Article en En | MEDLINE | ID: mdl-38017154
The development of virtual care options, including virtual hospital platforms, is rapidly changing the healthcare, mostly in the pandemic period, due to difficulties in in-person consultations. For this purpose, in 2020, a neurological Virtual Hospital (NOVHO) pilot study has been implemented, in order to experiment a multidisciplinary second opinion evaluation system for neurological diseases. Cerebrovascular diseases represent a preponderant part of neurological disorders. However, more than 30% of strokes remain of undetermined source, and rare CVD (rCVD) are often misdiagnosed. The lack of data on phenotype and clinical course of rCVD patients makes the diagnosis and the development of therapies challenging. Since the diagnosis and care of rCVDs require adequate expertise and instrumental tools, their management is mostly allocated to a few experienced hospitals, making difficult equity in access to care. Therefore, strategies for virtual consultations are increasingly applied with some advantage for patient management also in peripheral areas. Moreover, health data are becoming increasingly complex and require new technologies to be managed. The use of Artificial Intelligence is beginning to be applied to the healthcare system and together with the Internet of Things will enable the creation of virtual models with predictive abilities, bringing healthcare one step closer to personalized medicine. Herein, we will report on the preliminary results of the NOVHO project and present the methodology of a new project aimed at developing an innovative multidisciplinary and multicentre virtual care model, specific for rCVD (NOVHO-rCVD), which combines the virtual hospital approach and the deep-learning machine system.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Trastornos Cerebrovasculares Límite: Humans Idioma: En Revista: Neurol Sci Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Italia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Trastornos Cerebrovasculares Límite: Humans Idioma: En Revista: Neurol Sci Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Italia