Digital Health for Rare Diseases: A Scoping Review of Artificial Intelligence, Connected Care, and Enabling Digital Technologies for Lysosomal Storage Disorders (Preprint)

The evidence base is appreciable for a niche field and reflects growing interest in AI and CC for LSD care, but heterogeneity and methodological limitations preclude inferences on effectiveness or routine implementation. This evidence map highlights relatively stronger areas and clear gaps, providing a structured foundation to inform subsequent expert consensus-building and research prioritization. Key priorities include interoperable data infrastructures and data availability, prospective multicenter evaluations, transparent reporting of algorithms and workflows, and implementation-relevant outcomes to support safe, equitable, and scalable adoption aligned with evolving EU and global rare-disease priorities.

Authors

Institutions

Publication Details

Journal
Journal of Medical Internet Research
Published
2025-03-22
DOI
https://doi.org/10.2196/73612
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Health for Rare Diseases: A Scoping Review of Artificial Intelligence, Connected Care, and Enabling Digital Technologies for Lysosomal Storage Disorders (Preprint)

Alberta Spreafico, Kim Angel, Cinzia Maria Bellettato, Maurizio Scarpa et al.
Journal of Medical Internet Research
Genomics and Rare Diseases
article

Digital Health for Rare Diseases: A Scoping Review of Artificial Intelligence, Connected Care, and Enabling Digital Technologies for Lysosomal Storage Disorders (Preprint)

Alberta Spreafico, Kim Angel, Cinzia Maria Bellettato, Maurizio Scarpa, Luca Neri
article en

Abstract

The evidence base is appreciable for a niche field and reflects growing interest in AI and CC for LSD care, but heterogeneity and methodological limitations preclude inferences on effectiveness or routine implementation. This evidence map highlights relatively stronger areas and clear gaps, providing a structured foundation to inform subsequent expert consensus-building and research prioritization. Key priorities include interoperable data infrastructures and data availability, prospective multicenter evaluations, transparent reporting of algorithms and workflows, and implementation-relevant outcomes to support safe, equitable, and scalable adoption aligned with evolving EU and global rare-disease priorities.

Journal of Medical Internet Research
University of Udine (IT), Iuliu Hațieganu University of Medicine and Pharmacy (RO), Innovate UK (GB), Winfocus (IT), Center for Global Health (US), Canadian MPS Society for Mucopolysaccharide and Related Diseases (CA), Bocconi University (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 21%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Digital Health for Rare Diseases: A Scoping Review of Artificial Intelligence, Connected Care, and Enabling Digital Technologies for Lysosomal Storage Disorders (Preprint) — Alberta Spreafico, Kim Angel, et al. · Journal of Medical Internet Research (2025) | TGRS Research Map | TGRS