Papers by Vladimir Shaposhnikov
CLARITY: Clinical Assistant for Routing, Inference, and Triage (2025.emnlp-industry)
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Vladimir Shaposhnikov, Alexandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Zhelvakov Egor, Ruslan Abramov, Tsapieva Ekaterina Olegovna, Iaroslav Radionovich Bespalov, Dmitry V. Dylov, Ivan Oseledets
| Challenge: | Medical dialogue systems are still flawed for real-world adoption in healthcare. |
| Approach: | They propose to integrate CLARITY (Clinical Assistant for Routing, Inference and Triage) it combines a Finite State Machine (FSM) and collaborative agents that employ Large Language Model (LLM) they report that it surpasses human-level performance in terms of first-attempt routing precision . |
| Outcome: | The proposed platform surpasses human-level performance in terms of first-attempt routing precision. |