Embodied Intelligence for Context-Aware Perception and Adaptive Reasoning in HumanCentered Healthcare
Welcome to the International workshop on "Embodied Intelligence for Context-Aware Perception and Adaptive Reasoning in HumanCentered Healthcare " to be held in Wuhan, China, from 15 to 18 december 2025, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (BIBM）
Embodied Intelligence for Context-Aware Perception and Adaptive Reasoning in Human-Centered Healthcare
As artificial intelligence continues to advance toward real-world applications, embodied intelligence is emerging as a promising paradigm that integrates perception, cognition, and action within context-rich environments. In human-centered healthcare, such capabilities are crucial for developing intelligent systems that can interact naturally with complex data sources, understand dynamic clinical contexts, and support personalized decision-making. Embodied intelligence leverages multi-modal data—ranging from medical images and genomics to electronic health records (EHRs)—to enable healthcare systems that continuously adapt and improve based on real-time feedback.
The importance of embodied intelligence in healthcare cannot be overstated. In medical image processing, for instance, embodied agents can enhance diagnostic accuracy by interacting with high-dimensional data, such as MRI, CT scans, and ultrasound images, to identify patterns that may be overlooked by traditional methods. Similarly, in drug discovery, embodied AI systems can model complex biochemical interactions, simulate molecular behavior, and assist in optimizing drug efficacy. Moreover, embodied intelligence can play a pivotal role in disease association prediction by analyzing longitudinal health data, enabling early detection of potential health risks and personalized intervention strategies.
This workshop aims to bring together researchers and practitioners from diverse disciplines to explore how embodied intelligence can enhance context-aware perception, adaptive reasoning, and interactive behavior in healthcare-related applications. By leveraging embodied agents—virtual or physical—that actively learn from and respond to multi-modal health information, we envision next-generation systems capable of driving innovation in clinical diagnostics, physiological modeling, therapeutic decision-making, and health monitoring. These systems will not only improve the accuracy and efficiency of healthcare delivery but also provide personalized care that is both adaptive and scalable.
We welcome contributions addressing both theoretical foundations and practical implementations of embodied AI in health environments, with an emphasis on human-centric design, interpretability, and robustness. The workshop encourages interdisciplinary perspectives from AI, medicine, cognitive science, robotics, and health informatics. Topics of interest include, but are not limited to, the integration of embodied agents in medical imaging, the use of AI-driven simulations in drug discovery, and the application of embodied intelligence in predicting disease outcomes from multi-source health data.
Embodied perception and sensorimotor learning in health-related environments
Multi-modal data fusion and contextual understanding for human health applications
Simulation-based and reinforcement learning for adaptive reasoning in healthcare
Active learning, curiosity-driven exploration, and human-in-the-loop decision-making
Embodied agents for interactive diagnostics, monitoring, and personalized intervention
Integration of symbolic and sub-symbolic reasoning in health-oriented embodied systems
Cognitive modeling and task grounding for intelligent health assistance
Structure-aware representation learning for physiological and anatomical data
Vision-language or cross-modal reasoning in health-related perception tasks
Dynamic interpretation and editing of visual data in clinical workflows
Embodied intelligence for modeling spatio-temporal biomedical patterns
Privacy-aware and trustworthy embodied decision-making systems
Benchmarks, simulation environments, and embodied evaluation protocols in healthcare
Full online
Oct. 25, 2025: Due date for full workshop papers submission
Nov. 10, 2025: Notification of paper acceptance to authors
Nov. 23, 2025: Camera-ready of accepted papers
Dec. 15-18, 2025: Workshops
Please submit a paper (8 page IEEE 2-column format) via online BIBM paper submission system:
https://wi-lab.com/cyberchair/2025/bibm25/index.php
Papers should be formatted to IEEE Proceedings Manuscript Formatting Guidelines. You can download the format instruction here: http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
Electronic submissions (in PDF or Postscript format) are required.
Sibo Qiao, Tiangong University, China
Email: siboqiao@tiangong.edu.cn
Yuanyuan Zhang, Qingdao University of Technology, China
Email: zhangyuanyuan@qut.edu.cn
Fazlullah Khan, Business Technology Management Group, Chicago, Illinois, USA
Email: fazlullah.khan@btmgusa.com
Shudong Wang, China University of Petroleum, China
Zhihan Lyu, Xidian University, China
Jinxing Liu, University of Health and Rehabilitation Sciences, China
Joel J. P. C. Rodrigues, Amazonas State University, Brazil
Shalli Rani, Chitkara University Institute of Engineering and Technology, India
We will continue to update the workshop information, including the list of program committee members and the confirmed keynote speaker, as they become available. We look forward to receiving your submissions and to a fruitful and enlightening workshop at the IEEE BIBM 2025 Conference!