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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions

Crossref DOI link: https://doi.org/10.1186/s12984-025-01654-4

Published Online: 2025-05-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Buscarini, Leonardo https://orcid.org/0009-0000-7392-6515
Romano, Paola https://orcid.org/0000-0003-2441-135X
Cocco, Elena Sofia https://orcid.org/0009-0008-5825-5707
Damiani, Carlo

Pournajaf, Sanaz https://orcid.org/0000-0001-8749-2236
Franceschini, Marco

Infarinato, Francesco https://orcid.org/0000-0002-5570-8490
Funding

Funding for this research was provided by:

Italian Ministry of Health
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Text and Data Mining valid from 2025-05-26

Version of Record valid from 2025-05-26
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Article History

Received: 7 May 2024

Accepted: 15 May 2025

First Online: 26 May 2025

Declarations

:

: The study protocol was approved by the ethical committee of the IRCCS San Raffaele Pisana of Rome on 18/07/2018 (code number 07/18).

: The authors declare no competing interests.

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