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.
Telemedicine and AI: From Co-Design to Explainability
Filogna S.;Malizia A.;Mazzei D.;Prencipe G.;Sgandurra G.;Turchi T.
2024-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.