Masoud Khani / Research
Ideas into methods.Medicine at the center.
Explore the models, tools, and questions behind my work in medical AI. Follow each method from its inputs to what we can learn.
Multi-agent clinical AI / Published · September 2026
CPS-Net
Collaborating Physicians in Silico Network: a decentralized multi-agent transformer framework for specialty-aware disease prediction.
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Explainable AI / Published research
Explainable clinical risk models
Understanding which clinical factors matter, and how their importance changes over time.
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Clinical AI / Published · 2026
Sequential Pattern Transformer
A generative and interpretable framework for predicting disease trajectories.
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Health equity / Published research
Social determinants of health
Understanding how socioeconomic conditions relate to access, care utilization, and health equity.
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Neural signals / Software & preprint
Spike Sorting Framework
From neural recordings to interpretable spike groups: PyWaveClus and MCWs.
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Language models / Published · 2025
LLMCARE & clinical language
Transformer models and synthetic language data for cognitive impairment detection.
Explore the methodPatient modeling / Research interest
Digital twins for healthcare
A research interest in connecting patient histories, predictive models, and simulation.
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