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Multimodal artificial intelligence (AI) integrates diverse types of data via machine learning to improve understanding, prediction, and decision-making across disciplines such as healthcare, science, and engineering.
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Quatrini, S · 2021
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An emotion care model using multimodal textual analysis on COVID-19
Gupta, V. et al · 2021
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Smil: Multimodal learning with severely missing modality
Ma, M. et al · 2021
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Roberts, M. et al · 2021
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Meng, X., Babaee, H. & Karniadakis, G. E · 2021
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Krittanawong, C. et al · 2021
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Physics-informed machine learning
Karniadakis, G. E. et al · 2021
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Generating conjectures on fundamental constants with the ramanujan machine
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Maximenko, N. et al · 2021
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Multimodal biomedical AI
Acosta, J. N., Falcone, G. J., Rajpurkar, P. & Topol, E. J · 2022
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Multimodal machine learning in precision health: A scoping review
Kline, A. et al · 2022
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Multi-granularity cross-modal alignment for generalized medical visual representation learning
Wang, F., Zhou, Y., Wang, S., Vardhanabhuti, V. & Yu, L · 2022
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Deep multimodal data fusion
Zhao, F., Zhang, C. & Geng, B · 2024
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Foundations & trends in multimodal machine learning: Principles, challenges, and open questions
Liang, P. P., Zadeh, A. & Morency, L.-P · 2024
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Machine learning for functional protein design
Notin, P., Rollins, N., Gal, Y., Sander, C. & Marks, D · 2024
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Lavin, A. et al · 2022
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Penwarden, M., Zhe, S., Narayan, A. & Kirby, R. M · 2022
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Generation of realistic synthetic data using multimodal neural ordinary differential equations
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Climate change and COVID-19: Interdisciplinary perspectives from two global crises
Khojasteh, D., Davani, E., Shamsipour, A., Haghani, M. & Glamore, W · 2022
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Wearable photoplethysmography for cardiovascular monitoring
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Randomized clinical trials of machine learning interventions in health care: A systematic review
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Deep multimodal learning with missing modality: A survey
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A survey on safe multi-modal learning systems
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Synthetic data in biomedicine via generative artificial intelligence
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Self-supervised multimodal learning: A survey
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