Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
CardioCopilot: an AI-powered virtual consultant for cardiovascular prevention
0
Zitationen
5
Autoren
2025
Jahr
Abstract
<p>CardioCopilot is an AI-powered virtual consultant designed for cardio- vascular disease prevention and health promotion. It combines large language models (LLMs) with retrieval-augmented generation (RAG) methods to provide accurate, personalised recommendations. The sys- tem integrates a FAISS vector database, LangChain framework, and Ope- nAI’s GPT-4o model to ensure reliability and data security. Its analysis is based on the latest European Society of Cardiology guidelines, enabling assessment of arterial hypertension, dyslipidemia, diabetes, and life- style factors such as nutrition and physical activity. User data, stored in a MySQL relational database, is integrated in a way that allows individual- ised blood pressure analysis and recommendations while ensuring data protection. The system maintains strict conversational boundaries and topic limitations, focusing exclusively on cardiovascular disease-related queries. Testing demonstrated high medical accuracy, reduced risk of hallucinations, and strong multilingual support. CardioCopilot acts as a trusted intermediary between individuals and healthcare professionals, helping to identify risks early and promote healthier lifestyle decisions.</p>
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.460 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.341 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.791 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.536 Zit.