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20222025
most citedMedSyn: LLM-based Synthetic Medical Text Generation Framework

28 citations · 62 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025★ 1 cited

RuCCoD: Towards Automated ICD Coding in Russian

Aleksandr Nesterov, Andrey Sakhovskiy, Ivan Sviridov +5

This study investigates the feasibility of automating clinical coding in Russian, a language with limited biomedical resources. We present a new dataset for ICD coding, which inclu…

cs.CL2024★ 28 cited

MedSyn: LLM-based Synthetic Medical Text Generation Framework

Gleb Kumichev, Pavel Blinov, Yulia Kuzkina +5

Generating synthetic text addresses the challenge of data availability in privacy-sensitive domains such as healthcare. This study explores the applicability of synthetic data in r…

cs.CL2023★ 4 cited

Deciphering Diagnoses: How Large Language Models Explanations Influence Clinical Decision Making

D. Umerenkov, G. Zubkova, A. Nesterov

Clinical Decision Support Systems (CDSS) utilize evidence-based knowledge and patient data to offer real-time recommendations, with Large Language Models (LLMs) emerging as a promi…

cs.CL2022

NeuralSympCheck: A Symptom Checking and Disease Diagnostic Neural Model with Logic Regularization

Aleksandr Nesterov, Bulat Ibragimov, Dmitriy Umerenkov +3

The symptom checking systems inquire users for their symptoms and perform a rapid and affordable medical assessment of their condition. The basic symptom checking systems based on…

cs.CL2022★ 19 cited

RuMedBench: A Russian Medical Language Understanding Benchmark

Pavel Blinov, Arina Reshetnikova, Aleksandr Nesterov +2

The paper describes the open Russian medical language understanding benchmark covering several task types (classification, question answering, natural language inference, named ent…