Telemedicine and AI: From Co-Design to Explainability
This paper explores the synergistic integration of Artificial Intelligence (AI) into telemedicine systems, emphasizing the critical roles of co-design and explainability aspects. As telemedicine evolves to offer more sophisticated, personalized, and accessible healthcare services, the incorporation of AI presents unique challenges and opportunities for developing future telemedicine solutions that will be effective, transparent, and trusted by both healthcare providers and patients through co-design to increase explainability. Overall, we aim at emphasizing the crucial role of co-design in bridging the gap between AI, explainability, and trustworthiness of AI-based systems.
Authors
- Tommaso Turchi (ORCID: https://orcid.org/0000-0001-6826-9688)
- Daniele Mazzei (ORCID: https://orcid.org/0000-0001-8383-3355)
- Giuseppina Sgandurra (ORCID: https://orcid.org/0000-0003-1081-1766)
- Silvia Filogna (ORCID: https://orcid.org/0000-0001-6358-5649)
- Alessio Malizia (ORCID: https://orcid.org/0000-0002-2601-7009)
- Giuseppe Prencipe
Institutions
- University of Pisa (IT)
- Fondazione Stella Maris (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/rtsi61910.2024.10761199
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12