PROSPECTS OF AUTOMATION OF LABORATORY ANALYSIS USING ARTIFICIAL INTELLIGENCE
Abstract
This article discusses the relevance, practical advantages and future development directions of automating laboratory analysis processes using artificial intelligence technologies. The role of AI algorithms in increasing the speed, accuracy and reliability of medical diagnostic processes was analyzed. Also, scientific approaches aimed at processing analysis results, automatic identification of biological samples, early detection of diseases and supporting clinical decision-making systems were considered. The research results show that automation based on artificial intelligence can take laboratory practice to a new level, reduce errors associated with the human factor and optimize diagnostic processes.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Clinical Laboratory Practices and Quality Control
Artificial Intelligence in Healthcare
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 February 2026
- Language
- EN