Ethical, Legal, and Social Assessment of AI-Based Technologies for Prevention and Diagnosis of Rare Diseases in Health Technology Assessment Processes
Integrating these findings into the Core Model enables a comprehensive HTA of AI-based rare disease technologies. Beyond the Core Model, these issues may inform broader assessment frameworks, ensuring rigorous and ethically responsible evaluations.
Authors
- Laura Sampietro-Colom (ORCID: https://orcid.org/0000-0001-7182-0231)
- Pietro Refolo (ORCID: https://orcid.org/0000-0003-1055-160X)
- Josep M. Borràs (ORCID: https://orcid.org/0000-0001-7330-6308)
- Costanza Raimondi
- Darío Sacchini (ORCID: https://orcid.org/0000-0002-1581-3018)
- Marco Marchetti (ORCID: https://orcid.org/0000-0002-8367-8268)
- Alessandra Lo Scalzo (ORCID: https://orcid.org/0000-0001-6863-063X)
- Paula Closa
- Livio Battaglia
- Sonia Muñoz-López
- Violeta Astratinei
Institutions
- Università Cattolica del Sacro Cuore (IT)
- Agenzia Regionale per la Protezione Ambientale del Piemonte (IT)
- Association for Liberty and Equality of Gender (RO)
- Fundació Clínic per a la Recerca Biomèdica (ES)
- Fundació de Recerca Clínic Barcelona-Institut d’Investigacions Biomèdiques August Pi i Sunyer (ES)
- Universitat de Barcelona (ES)
Publication Details
- Journal
- Healthcare
- Published
- 2025-04-04
- DOI
- https://doi.org/10.3390/healthcare13070829
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65