LatentDx: Latent Multi-Agent Communication for Cross-Hospital Rare-Disease Diagnosis
Rare diseases affect over $300$ million patients across more than $7{,}000$ conditions, yet no single hospital encounters enough cases of any one condition for reliable diagnosis. Cross-hospital collaboration could help by allowing a diagnosing institution to use distributed, case-specific diagnostic evidence, but privacy regulations restrict the transmission of identifiable clinical text across institutional boundaries. This setting raises two challenges: existing medical agent systems often rely on textual evidence exchange, while raw latent states such as hidden states and KV caches may still reveal prompt-derived clinical content. We introduce LatentDx, a latent multi-agent communicat...
| Authors | Ziqing Wang, Lili Zhao, Kaize Ding |
|---|---|
| Primary category | cs.CL |
| Published | 11 June 2026 |
| Last updated at source | 9 September 2026 |
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