Knowledge Extraction

Knowledge extraction aims to automatically derive structured information and insights from unstructured data sources, such as scientific literature and medical images. Current research heavily utilizes large language models (LLMs) and deep learning architectures, often incorporating techniques like prompt engineering, knowledge graph integration, and multi-agent systems to improve accuracy and efficiency. This field is crucial for accelerating scientific discovery, enabling more effective medical diagnosis and treatment, and facilitating knowledge-based decision-making across various domains.