most citedMedSyn: LLM-based Synthetic Medical Text Generation Framework

28 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2025★ 1 cited

MADD: Multi-Agent Drug Discovery Orchestra

Gleb V. Solovev, Alina B. Zhidkovskaya, Anastasia Orlova +18

Hit identification is a central challenge in early drug discovery, traditionally requiring substantial experimental resources. Recent advances in artificial intelligence, particula…

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.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.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…