The convergence of artificial intelligence (AI) in the form of large language models (LLMs) and blockchain technology is poised to drive the next generation of telemedicine. LLMs can rapidly analyze patient records, providing contextualized recommendations and enhancing diagnostic processes. Blockchain technology enables secure, decentralized storage and sharing of medical data, ensuring patient privacy and cross-organizational interoperability. The synergy between these technologies can lead to improved care personalization, automated triage, and secure remote patient monitoring. However, the responsible adoption of AI and blockchain in telemedicine requires addressing challenges such as bias, unclear responsibility, and integration with existing systems while prioritizing patient interests and ethical considerations.
Citation: Heston TF. Perspective Chapter: Integrating Large Language Models and Blockchain in Telemedicine. IntechOpen; 2024. DOI: 10.5772/intechopen.1005063