EDP Sciences logo
Web of Conferences logo
Search
Menu
All issues Volume 84 (2026) ITM Web Conf., 84 (2026) 01016 References
Open Access
Issue
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
Article Number 01016
Number of page(s) 9
Section Intelligent Computing in Healthcare and Bioinformatics
DOI https://doi.org/10.1051/itmconf/20268401016
Published online 06 April 2026
  1. Y. Liu, X. Cao, T. Chen, Y. Jiang, J. You, M. Wu, X. Wang, M. Feng, Y. Jin, J. Chen, From screens to scenes: A survey of embodied AI in healthcare. Inf. Fusion 119, C (2025). https://doi.org/10.1016/j.inffus.2025.103033 [Google Scholar]
  2. F. Han, X. Huang, X. Wang, Y. Chen, C. Lu, S. Li, … D. Zhang, Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions. MedComm 6(7) (2025). https://doi.org/10.1002/mco2.70260 [Google Scholar]
  3. J.N.K. Wah, The rise of robotics and AI-assisted surgery in modern healthcare. J. Robotic Surg. 19, 311 (2025). [Google Scholar]
  4. A.-K. Al-Tamimi, L. Hewitt, D. Cameron, M. Salem, A. Moemeni, Challenges of Integrating Assistive Technologies and Robots with Embodied Intelligence in the Homes of Older People Living with Frailty. Appl. Sci. 15(15), 8415 (2025). https://doi.org/10.3390/app15158415 [Google Scholar]
  5. J.F. Leaman, Z. Yang, Y.N. Elglaly, H. La, B. Li, Embodied-AI Wheelchair Framework with Hands-free Interface and Manipulation, in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), Prague, Czech Republic (2022), pp. 40–45. doi: 10.1109/SMC53654.2022.9945310 [Google Scholar]
  6. X. Wu, J. Liang, Y. Yu, G. Li, G.G. Yen, H. Yu, Embodied Perception Interaction, and Cognition for Wearable Robotics: A Survey. IEEE Trans. Cogn. Dev. Syst. (2024). doi: 10.1109/TCDS.2024.3463194 [Google Scholar]
  7. Y. Tian, M. Shi, X. Zhang, et al., Assisting embodied AI: a survey of 3D segmentation models for medical CT images. CCF Trans. Pervasive Comput. Interact. (2025). https://doi.org/10.1007/s42486-025-00203-1 [Google Scholar]
  8. F. De Micco, V. Tambone, P. Frati, M. Cingolani, R. Scendoni, Disability 4.0: Bioethical Considerations on the Use of Embodied Artificial Intelligence. Front. Med. 11 (2024). https://doi.org/10.3389/fmed.2024.1437280 [Google Scholar]
  9. L. Cañamero, Embodied Affect for Real -World Human-Robot Interaction, in Proc. ACM/IEEE Human-Robot Interaction (2020), pp. 459–460. https://doi.org/10.1145/3319502.3374843 [Google Scholar]
  10. Q. Zhang, Y. Zhou, Embodied Intelligence Applications in Assistive Technologies for the Visually Impaired, in Proc. 6th Int. Conf. Robotics, Intelligent Control and Artificial Intelligence (RICAI) (2024), pp. 105–109. https://doi.org/10.1109/RICAI64321.2024.10911190 [Google Scholar]
  11. W. Huang, J. Yi, Z. Liu, W. Zhou, MLLMs for Versatile Scene Understanding: Towards Embodied Intelligent Surgical Robots, in Proc. 5th Int. Conf. Artificial Intelligence and Industrial Technology Applications (AIITA), Xi’an, China (2025), pp. 1300–1303. doi: 10.1109/AIITA65135.2025.11047944 [Google Scholar]
  12. D. Driess, F. Xia, M.S.M. Sajjadi, et al., Palm-E: An embodied multimodal language model (2023). [Google Scholar]
  13. J. Dai, H. Xu, T. Chen, et al., Artificial intelligence for medicine 2025: Navigating the endless frontier. Innovation Medicine 3, 100120 (2025). https://doi.org/10.59717/j.xinn-med.2025.100120 [Google Scholar]
  14. H. Duan, Research on the Ethical Resilience of Embodied Intelligence in Telemedicine: Design of Human-Machine Collaborative Decision-Making Boundary and Responsibility Traceability Framework, Artificial Intelligence and Digital Ethics (ICAIDE) (2025), pp. 12–19. https://doi.org/10.1109/ICAIDE65466.2025.11189534 [Google Scholar]
  15. Y. Qiu, X. Chen, X. Wu, Y. Li, P. Xu, K. Jin, X. Shang, P. Chotcomwongse, M. He, D. Shi, Embodied Artificial Intelligence in Ophthalmology. npj Digit. Med. 8(1) (2025). https://doi.org/10.1038/s41746-025-01754-4 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.