Open Access
| Issue |
BIO Web Conf.
Volume 200, 2025
Biology, Health & Artificial Intelligence Conference (BHAI 2025)
|
|
|---|---|---|
| Article Number | 01022 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/bioconf/202520001022 | |
| Published online | 05 December 2025 | |
- A. Worku, F. G. Arage, and F. B. Kebede, “Introduction to health care data analyticsan overview,” Discov. Health Syst., vol. 4, no. 1, p. 107, Sept. 2025, doi: 10.1007/s44250-025-00291-x. [Google Scholar]
- S. Kumar, S. Rani, S. Sharma, and H. Min, “Multimodality Fusion Aspects of Medical Diagnosis: A Comprehensive Review,” Bioengineering, vol. 11, no. 12, 2024, doi: 10.3390/bioengineering11121233. [Google Scholar]
- J. R. Teoh, J. Dong, X. Zuo, K. W. Lai, K. Hasikin, and X. Wu, “Advancing healthcare through multimodal data fusion: a comprehensive review of techniques and applications.,” PeerJ Comput. Sci., vol. 10, p. e2298, 2024, doi: 10.7717/peerj-cs.2298. [Google Scholar]
- Y. Gu, K. Yang, S. Fu, S. Chen, X. Li, and I. Marsic, “Multimodal affective analysis using hierarchical attention strategy with word-level alignment,” in Proceedings of the conference. Association for Computational Linguistics. Meeting, 2018, p. 2225. [Google Scholar]
- S. Steyaert, Y. L. Qiu, Y. Zheng, P. Mukherjee, H. Vogel, and O. Gevaert, “Multimodal deep learning to predict prognosis in adult and pediatric brain tumors,” Commun. Med., vol. 3, no. 1, p. 44, 2023. [Google Scholar]
- M. T. MacLean et al., “Linking abdominal imaging traits to electronic health record phenotypes,” medRxiv, pp. 2020–09, 2020. [Google Scholar]
- A. J. Robertson, A. J. Mallett, Z. Stark, and C. Sullivan, “It is in our DNA: Bringing electronic health records and genomic data together for precision medicine,” JMIR Bioinforma. Biotechnol., vol. 5, p. e55632, 2024. [Google Scholar]
- Y. Hao et al., “Multimodal Integration in Health Care: Development With Applications in Disease Management,” J. Med. Internet Res., vol. 27, p. e76557, 2025. [Google Scholar]
- F. Abdullakutty, A. Bouridane, S. Al-Maadeed, R. Al Saady, and H. M. Abu Rasheed, “Attention-Enhanced Mixture of Experts for Multimodal Breast Cancer Detection,” Available SSRN 5375894. [Google Scholar]
- L. Luo et al., “Deep learning in breast cancer imaging: A decade of progress and future directions,” IEEE Rev. Biomed. Eng., 2024. [Google Scholar]
- A. Vaswani et al., “Attention is All you Need,” in Advances in Neural Information Processing Systems, I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, Eds., Curran Associates, Inc., 2017. [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.

