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This paper is in the following e-collection/theme issue:

Digital Health Reviews (1829) Reviews in Medical Informatics (124) Machine Learning (2234) Advanced Data Analytics in eHealth (237) Decision Support for Health Professionals (1640) Telehealth and Telemonitoring (2207) Artificial Intelligence (2354)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73612, first published .
Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review

Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review

Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review

Authors of this article:

Alberta MC Spreafico1, 2, 3 Author Orcid Image ;   Luca Neri4, 5 Author Orcid Image ;   Kim Angel6 Author Orcid Image ;   Cinzia Maria Bellettato7 Author Orcid Image ;   Maurizio Scarpa7 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Alberta MC Spreafico   1, 2, 3 , MSc, MBA, PhD ;   Luca Neri   4, 5 , MD ;   Kim Angel   6 ;   Cinzia Maria Bellettato   7 , PhD ;   Maurizio Scarpa   7 , Prof Dr Med

1 Health Innovation, EVERSANA INTOUCH, Salerno, Italy

2 Government, Health and Not for Profit Division, SDA Bocconi School of Management, Milano, Italy

3 Innovation for Global Health Institute, Milan, Italy

4 WINFOCUS, Milan, Italy

5 Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania

6 International MPS Network, Vancouver, BC, Canada

7 MetabERN, Regional Coordinating Center for Rare Diseases, Udine University Hospital, Udine, Italy

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