Papers by Alexandr Nesterov
RuCCoD: Towards Automated ICD Coding in Russian (2025.emnlp-main)
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Alexandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov, Airat Valiev, Vladimir Makharev, Petr Anokhin, Galina Zubkova, Elena Tutubalina
| Challenge: | a new dataset for clinical coding in Russian is available for download . human coders must navigate a wide array of medical terminology and time pressures . |
| Approach: | They present a new dataset for ICD coding in Russian, a language with limited biomedical resources. |
| Outcome: | The proposed model improves accuracy on an in-house EHR dataset from 2017 to 2021. |
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. |
RuCCoN: Clinical Concept Normalization in Russian (2022.findings-acl)
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Alexandr Nesterov, Galina Zubkova, Zulfat Miftahutdinov, Vladimir Kokh, Elena Tutubalina, Artem Shelmanov, Anton Alekseev, Manvel Avetisian, Andrey Chertok, Sergey Nikolenko
| Challenge: | a new dataset for clinical concept normalization in Russian is available for download . ehrs contains over 16,028 entity mentions manually linked to over 2,409 unique concepts . |
| Approach: | They present a dataset for clinical concept normalization in Russian manually annotated by medical professionals. |
| Outcome: | The proposed dataset contains 16,028 entity mentions manually linked to over 2,409 unique concepts from the Russian language part of the UMLS ontology. |