Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
603-03-008 ISMRM Abstract

Fusing Medical History Trajectories and Multi-modal Image Features for Disease Risk Prediction

Primary: Analysis Methods - Classification and Prediction
Secondary: Cross-Organ
603-03-008 · AI for Diagnostic and Prognostic Applications · Thursday, 14 May, 4:00 PM–5:50 PM · Auditorium 1
Keywords: Diagnosis/Prediction Machine Learning/Artificial Intelligence Multimodal Artificial Intelligence
Accepted
Zian Wang1, Haoyang Zhang2, Lizhen Lan2, Yan Li3, Yajing Zhang 4, Chengyan Wang2
1School of Computer Science, Fudan University, Shanghai, China
2Human Phenome Institute, Fudan University, Shanghai, China
3Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
4Science & Technology, GE Healthcare, Beijing, China
Presenting Author: Yajing Zhang

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References

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7. A. Vaswani et al., ‘Attention Is All You Need’, Aug. 02, 2023, arXiv: arXiv:1706.03762. doi: 10.48550/arXiv.1706.03762. [doi]
8. A. Shmatko et al., ‘Learning the natural history of human disease with generative transformers’, Nature, pp. 1–9, Sep. 2025, doi: 10.1038/s41586-025-09529-3. [doi]
9. C. Sudlow et al., ‘UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age’, PLoS Med., vol. 12, no. 3, p. e1001779, Mar. 2015, doi: 10.1371/journal.pmed.1001779. [doi]
10. A. Kirillov et al., ‘Segment Anything’, Apr. 05, 2023, arXiv: arXiv:2304.02643. doi: 10.48550/arXiv.2304.02643. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/603-03-008