Kirill M. Arzamasov
Moscow, MOW, Russian Federation
Last Updated: 09/26/2026
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Found 25 publications
Implementation of an artificial intelligence-based system for mammography in the compulsory medical insurance program: results of a 3-year study.
Journal: Quantitative imaging in medicine and surgery
Published: April 09, 2026
Key aspects of fine-tuning and applying LLM-as-a-judge for clinical data summaries in the radiological workflow.
Journal: Frontiers in artificial intelligence
Published: December 15, 2025
MEDAI-LLM-SUMM: a reporting checklist for medical text summarization studies using large language models.
Journal: Frontiers in digital health
Published: December 05, 2025
Evaluating Medical Text Summaries Using Automatic Evaluation Metrics and LLM-as-a-Judge Approach: A Pilot Study.
Journal: Diagnostics (Basel, Switzerland)
Published: November 24, 2025
Implementation of a net benefit parameter in ROC curve decision thresholds for AI-powered mammography screening.
Journal: Frontiers in big data
Published: August 22, 2025
Pilot Exploratory Study of a CT Radiomics Model for the Classification of Small Cell Lung Cancer and Non-Small-Cell Lung Cancer in the Moscow Population: A Step Toward Virtual Biopsy.
Journal: Journal of imaging
Published: August 22, 2025
Autonomous chest x-ray image classification, capabilities and prospects: rapid evidence assessment.
Journal: Frontiers in digital health
Published: August 14, 2025
Comparison of artificial intelligence (AI) services for Breast Imaging-Reporting and Data System (BI-RADS) classification on mammograms.
Journal: Quantitative imaging in medicine and surgery
Published: July 31, 2025
A comparative accuracy study of multimodal LLMs, VLM and agent-based framework for pulmonary nodule detection on chest radiographs.
Journal: Frontiers in digital health
Published: July 28, 2025
Standalone AI Versus AI-Assisted Radiologists in Emergency ICH Detection: A Prospective, Multicenter Diagnostic Accuracy Study.
Journal: Journal of clinical medicine
Published: June 25, 2025
Outliers and anomalies in training and testing datasets for AI-powered morphometry-evidence from CT scans of the spleen.
Journal: Frontiers in artificial intelligence
Published: April 11, 2025
Evolution of an Artificial Intelligence-Powered Application for Mammography.
Journal: Diagnostics (Basel, Switzerland)
Published: March 03, 2025
Last Updated: 09/26/2026