AI Medical Compendium Journal:
Sovremennye tekhnologii v meditsine

Showing 11 to 15 of 15 articles

Sample Size Calculation for Clinical Trials of Medical Decision Support Systems with Binary Outcome.

Sovremennye tekhnologii v meditsine
Currently, software products for use in medicine are actively developed. Among them, the dominant share belongs to clinical decision support systems (CDSS), which can be intelligent (based on mathematical models obtained by machine learning methods o...

Age Classification in Forensic Medicine Using Machine Learning Techniques.

Sovremennye tekhnologii v meditsine
UNLABELLED: was to assess the capabilities of age determination (age group) at death using classification techniques by histomorphometric characteristics of osseous and cartilaginous tissue aging.

Artificial Intelligence Technologies in Neurosurgery: a Systematic Literature Review Using Topic Modeling. Part II: Research Objectives and Perspectives.

Sovremennye tekhnologii v meditsine
UNLABELLED: The current increase in the number of publications on the use of artificial intelligence (AI) technologies in neurosurgery indicates a new trend in clinical neuroscience. was to conduct a systematic literature review to highlight the mai...

Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas.

Sovremennye tekhnologii v meditsine
UNLABELLED: In recent years, the number of scientific publications on artificial intelligence (AI), primarily on machine learning, with respect to neurosurgery, has increased. was to conduct a systematic literature review and identify the main areas...

Technology of Informative Feature Selection for Immunosignature Analysis.

Sovremennye tekhnologii v meditsine
UNLABELLED: The main difficulty in practical work with data obtained via immunosignature analysis is high dimensionality and the presence of a significant number of uninformative or false-informative features due to the specific character of the tech...