From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke.
Saved in:
| Title: | From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke. |
|---|---|
| Authors: | Cacciotti A; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy.; Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy., Pappalettera C; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy.; Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy., Miraglia F; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy.; Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy., Carrarini C; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy.; Department of Neuroscience, Catholic University of Sacred Heart, Rome, Italy., Pecchioli C; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy., Rossini PM; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy., Vecchio F; Brain Connectivity Laboratory, Department of Neuroscience and Neurorehabilitation, IRCCS San Raffaele Roma, Via Val Cannuta, 247, 00166, Rome, Italy. fabrizio.vecchio@uniecampus.it.; Department of Theoretical and Applied Sciences, eCampus University, Novedrate, Como, Italy. fabrizio.vecchio@uniecampus.it. |
| Source: | GeroScience [Geroscience] 2025 Feb; Vol. 47 (1), pp. 977-992. Date of Electronic Publication: 2024 Aug 01. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Springer International Publishing Country of Publication: Switzerland NLM ID: 101686284 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2509-2723 (Electronic) Linking ISSN: 25092723 NLM ISO Abbreviation: Geroscience Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2509-2723 |
|---|---|
| DOI: | 10.1007/s11357-024-01301-1 |
