Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Enhancing healthcare with intelligent environments: Integrating medical knowledge into GPT for advanced medical personal chatbots
3
Zitationen
3
Autoren
2024
Jahr
Abstract
ChatGPT has shown high performance in medical diagnosis, with various enhancement strategies proposed. However, national-level applications remain limited. This study explores integrating a personal medical chatbot into home environments nationwide, using knowledge from the Insieme platform, a robust electronic and mobile health system developed through an Italian-Slovenian project. This integration provides verified medical information, online support from healthcare professionals, and interactions with a virtual assistant powered by advanced natural language processing technologies. Detailed presentations of the Insieme platform and HomeDoctor application introduce innovative solutions for smart city ecosystems, potentially transforming national healthcare by enhancing patient care and optimizing workflows. The approach is based on deploying ChatGPT within the information and knowledge from the Insieme platform, using word embeddings and vector databases for efficient data retrieval and context-aware responses. This integration aims to reduce the burden on healthcare professionals, particularly in areas with workforce shortages, by providing 24/7 accessible and accurate medical information. The national-scale chatbot integration supports multilingual interactions, ensuring accessibility for non-native speakers, using country-specific knowledge. Preliminary studies show high user satisfaction and positive healthcare impacts, demonstrating the potential of integrating advanced AI technologies into national healthcare infrastructures and offering a blueprint for future medical smart-city developments.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.339 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.211 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.614 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.478 Zit.