What is it about?

This perspective article explores how combining artificial intelligence (AI) in the form of large language models (LLMs) with blockchain technology can potentially solve ongoing issues in telemedicine, such as personalized care, system integration, and secure patient data sharing. The strategic integration of LLMs for swift medical data analysis and decentralized blockchain ledgers for secure data exchange across organizations could establish a vital learning loop essential for advanced telemedicine.

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Why is it important?

This article is important because it addresses the pressing need for personalized, integrated, and secure telemedicine solutions. By proposing the novel combination of AI language models and blockchain technology, the article offers a potential path forward to overcome current challenges in telemedicine. The timely nature of this article is evident, as the COVID-19 pandemic has accelerated the adoption of telemedicine, making the need for innovative solutions more urgent than ever. The integration of these technologies could lead to significant improvements in patient care, such as automated triage, improved access to specialist records, and secure remote patient monitoring.

Perspectives

I believe that the convergence of AI language models and blockchain technology has the potential to revolutionize telemedicine. By leveraging the power of LLMs to rapidly analyze vast amounts of medical data and the security and interoperability offered by blockchain, we can create a more personalized, efficient, and secure virtual healthcare ecosystem. However, I also recognize that the adoption of these technologies comes with challenges, such as ensuring reliability, implementing safety measures, and addressing ethical considerations. It is crucial that we prioritize patient interests and work collaboratively across disciplines to responsibly integrate these technologies into telemedicine. With careful implementation and continuous refinement, I am confident that the synergy of AI and blockchain can drive the next generation of telemedicine and ultimately improve patient outcomes on a global scale.

Thomas F Heston MD
University of Washington

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This page is a summary of: Prespective Chapter: Integrating Large Language Models and Blockchain in Telemedicine, April 2024, IntechOpen,
DOI: 10.5772/intechopen.1005063.
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