Skip to content
Log in
Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

B. I. Geltser

h-index 2 View on Semantic Scholar

We have 3 of 23 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Sep 2026

Predictive potential of electrocardiographic and echocardiographic parameters for obstructive coronary involvement in patients with stable coronary artery disease

The obstructive CAD prognostic model based on categorical predictors demonstrated higher accuracy and reliability than the model with continuous predictors and echocardiographic parameters had no value for predicting obstructive CAD.

V. Mostovaya, A. S. Pogiba, K. I. Shahgel'dyan et al. · 0 citations
Open access Aug 2026

Machine Learning–Based Risk Prediction of In-Hospital Mortality in Patients With Non–ST-Elevation Acute Coronary Syndrome at Various Stages of the Diagnostic Process: Observational Study

ML-based models enabled accurate prediction of IHM in patients with NSTE-ACS at different stages of the diagnostic process and may improve risk stratification and clinical decision-making in real-world practice.

V. V. Ryabov, A. Nesova, A. Vishnevskiy et al. · 0 citations
Review Open access Jul 2026

Analysis of accuracy of risk assessment tools for predicting new-onset atrial fibrillation in ST-elevation myocardial nfarction with percutaneous coronaty intervention (a systematic review)

The occurrence of NOAF was associated with increased in-hospital mortality, which was 2–3 times higher in patients with arrhythmia, and most NOAF prediction models developed specifically in STEMI cohorts undergoing PCI demonstrated higher discriminative ability.

R. L. Pak, B. I. Geltser, E. Kokarev et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.