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

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

collaborators

10 papers

cs.CV2025★ 5 cited

Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation

Konstantin Egorov, Stepan Botman, Pavel Blinov +4

Progress in remote PhotoPlethysmoGraphy (rPPG) is limited by the critical issues of existing publicly available datasets: small size, privacy concerns with facial videos, and lack…

cs.HC2025★ 2 cited

3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark

Ivan Sviridov, Amina Miftakhova, Artemiy Tereshchenko +3

Though Large Vision-Language Models (LVLMs) are being actively explored in medicine, their ability to conduct complex real-world telemedicine consultations combining accurate diagn…

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.CV2024★ 3 cited

CardioSyntax: end-to-end SYNTAX score prediction -- dataset, benchmark and method

Alexander Ponomarchuk, Ivan Kruzhilov, Galina Zubkova +4

The SYNTAX score has become a widely used measure of coronary disease severity, crucial in selecting the optimal mode of the revascularization procedure. This paper introduces a ne…

cs.AI2024

GigaPevt: Multimodal Medical Assistant

Pavel Blinov, Konstantin Egorov, Ivan Sviridov +6

Building an intelligent and efficient medical assistant is still a challenging AI problem. The major limitation comes from the data modality scarceness, which reduces comprehensive…

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.CV2023

Neural network-based coronary dominance classification of RCA angiograms

Ivan Kruzhilov, Egor Ikryannikov, Artem Shadrin +3

Background. Cardiac dominance classification is essential for SYNTAX score estimation, which is a tool used to determine the complexity of coronary artery disease and guide patient…

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…