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Traditional AI-based healthcare systems often rely on single-modal data, limiting diagnostic accuracy due to incomplete information.
Trott, P.: International classification of diseases for oncology. Journal of clinical pathology 30
1977
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Spaan, M.T.J.: Partially Observable Markov Decision Processes, pp. 387–414. Springer Berlin Heidelberg (2012)
2012
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Krupat, E., Wormwood, J., Schwartzstein, R.M., Richards, J.B.: Avoiding premature closure and reaching diagnostic accuracy: some key predictive factors. Medical education 51
2017
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Papadakis, M.A., McPhee, S.J., Rabow, M.C.: Medical Diagnosis & Treatment. Mc Graw Hill: San Francisco, CA, USA (2019)
2019
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2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
Salvi, M., Loh, H.W., Seoni, S., Barua, P.D., García, S., Molinari, F., Acharya, U.R.: Multi-modality approaches for medical support systems: A systematic review of the last decade. Information Fusion 103
2024
Cited alongside, same era.
Slumbers, O., Mguni, D.H., Shao, K., Wang, J.: Leveraging large language models for optimised coordination in textual multi-agent reinforcement learning (2024)
2024
Later among the works it cites.
2024
Later among the works it cites.
Fan, Z., Wei, L., Tang, J., Chen, W., Siyuan, W., Wei, Z., Huang, F.: AI hospital: Benchmarking large language models in a multi-agent medical interaction simulator. In: Proceedings of the 31st International Conference on Computational Linguistics. pp. 10183–10213 (2025)
2025
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2025
Closest in time.
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