Honghan Wu – författare

This book constitutes the proceedings of the First International Workshop on Agentic AI for Medicine, Agentic AI 2025, the First International Workshop on Clinical-Driven Robotics and Embodied AI Technology, CREATE 2025, and the First International Workshop on Multimodal Large Language Models in Clinical Practice, CMLLMs 2025, held in conjunction with MICCAI 2025 in Daejeon, South Korea, during September 2025.The 12 papers included from Agentic AI have been accepted from 16 submissions to the Workshop. For CREATE 2025, 10 papers have been accepted from 12 submissions; and for Multimodal LLMs, 11 papers have been accepted from 19 submissions. They deal with arfiticial intelligence applications for clinical purposes.

This book constitutes the proceedings of the First International Workshop on Agentic AI for Medicine, Agentic AI 2025, the First International Workshop on Clinical-Driven Robotics and Embodied AI Technology, CREATE 2025, and the First International Workshop on Multimodal Large Language Models in Clinical Practice, CMLLMs 2025, held in conjunction with MICCAI 2025 in Daejeon, South Korea, during September 2025.The 12 papers included from Agentic AI have been accepted from 16 submissions to the Workshop. For CREATE 2025, 10 papers have been accepted from 12 submissions; and for Multimodal LLMs, 11 papers have been accepted from 19 submissions. They deal with arfiticial intelligence applications for clinical purposes.

This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs.  Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.

This book addresses the topic of exploiting enterprise-linked data with a particular focus on knowledge construction and accessibility within enterprises. It identifies the gaps between the requirements of enterprise knowledge consumption and “standard” data consuming technologies by analysing real-world use cases, and proposes the enterprise knowledge graph to fill such gaps.It provides concrete guidelines for effectively deploying linked-data graphs within and across business organizations. It is divided into three parts, focusing on the key technologies for constructing, understanding and employing knowledge graphs. Part 1 introduces basic background information and technologies, and presents a simple architecture to elucidate the main phases and tasks required during the lifecycle of knowledge graphs. Part 2 focuses on technical aspects; it starts with state-of-the art knowledge-graph construction approaches, and then discusses exploration and exploitation techniques as well as advanced question-answering topics concerning knowledge graphs.  Lastly, Part 3 demonstrates examples of successful knowledge graph applications in the media industry, healthcare and cultural heritage, and offers conclusions and future visions.