Publikation
Large Agent Models in Patient Care and Clinical Communication Infrastructure: Applications and Challenges
Matthias Rüb; Jan Herbst; Oliver May; Ralf Irmer; Christoph Lipps; Hans Dieter Schotten
In: 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA-2024), October 19-20, Hamburg, Germany, IEEE, 11/2024.
Zusammenfassung
The ongoing developments in the field of Artificial Intelligence (AI) methods, Large Language Models (LLMs) and LargeAgent Models (LAMs) are raising awareness and open up a wide range of new application scenarios. One of these is thehealthcare sector. Therefore, this work develops a vision on the application of LLMs/LAMs and emphasizes their potentialto improve the healthcare system, support the administration of patient data, and assist clinical staff with multimodal supportsystems and diagnosis and therapy recommendations. Additionally, this work addresses the role of LLMs/LAMs in terms of thetransformation of telecommunication within healthcare, especially through automation. Thereby, the work not only addresses thepotential applications but also describes the risks associated with their use. Furthermore, the work addresses the specific dangersarising when LLMs become more responsible in an automated healthcare wireless communication framework in the form ofLAMs. By examining both the risks and benefits of implementing LLMs in healthcare telecoms orchestration, the work providesan overview of the potential applications and challenges of LLMs in this area.