AI for Clinical Applications
Springer International Publishing (Verlag)
978-3-032-06003-7 (ISBN)
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.
.- Proceedings of the MICCAI Workshop on Agentic AI 2025.
.- An Explainable Multimodal Framework with LLM Agents for Intracranial Hemorrhage Detection.
.- Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework.
.- AD Agent: LLM Agent for Alzheimer s Disease Analysis with Collaborative Coordinator.
.- MedPAO: A Protocol-Driven Agent for Structuring Medical Reports.
.- Scan-do Attitude: Towards Autonomous CT Protocol Management Using a Large Language Model Agent.
.- MedXpert-CAD: A Multimodal Multi-Agentic System for Clinical Imaging Analysis via Model Context Protocol LLM-Driven Agentic Workflows.
.- Agentic Hypergraph Search for Ontology-Grounded Medical Reasoning.
.- Beyond Engagement: A Multidimensional Framework to Evaluate the Safe Development of Agentic AI in Mental Health.
.- LIFE-CRAFT: A Multi-Agentic Conversational RAG Framework for Lifestyle Medicine Coaching with Context Traceability and Case-Based Evidence Synthesis.
.- Harmony.
.- AURA: A Multi-Modal Medical Agent for Understanding, Reasoning & Annotation.
| Erscheinungsdatum | 23.09.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XX, 343 p. 91 illus., 86 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Schlagworte | AI in healthcare deployment • AI performance monitoring • Collaborative Learning • data heterogeneity • distributed learning • Fairness • federated learning • global regulatory alignment • medical AI evaluation • Multi-task learning. • Optimization Methods • post-market monitoring • privacy • Regulatory science • Reliable AI • Resource-efficient learning • responsible AI • responsible AI deployment • robust AI evaluation frameworks • Sparse/partial learning |
| ISBN-10 | 3-032-06003-6 / 3032060036 |
| ISBN-13 | 978-3-032-06003-7 / 9783032060037 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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