Artificial intelligence technologies in medicine. Problems of establishment
- Authors: Borodulina E.1, Gribova V.2, Vdoushkina E.1
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Affiliations:
- Samara State Medical University, Ministry of Health of Russia
- Institute of Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences
- Issue: Vol 34, No 3 (2023)
- Pages: 5-8
- Section: Topical Subject
- URL: https://journals.eco-vector.com/0236-3054/article/view/352492
- DOI: https://doi.org/10.29296/25877305-2023-03-01
- ID: 352492
Cite item
Abstract
In the period of global digitalization of society and healthcare, special attention is paid to the development of artificial intelligence (AI) technologies in medicine. To date, there are two main approaches to implementing AI technology based on machine learning methods and knowledge. In the former case, datasets are used; in the latter case, there is the knowledge acquired from scientific sources or experts. Each of the methods has both advantages and disadvantages. Medical decision support systems are being actively developed and implemented. But is everything so simple?
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About the authors
E. Borodulina
Samara State Medical University, Ministry of Health of Russia
Author for correspondence.
Email: borodulinbe@yandex.ru
Professor, MD
Russian Federation, SamaraV. Gribova
Institute of Automation and Control Processes, Far Eastern Branch, Russian Academy of Sciences
Email: borodulinbe@yandex.ru
Corresponding Member of the Russian Academy of Sciences, TechnD
Russian Federation, VladivostokE. Vdoushkina
Samara State Medical University, Ministry of Health of Russia
Email: borodulinbe@yandex.ru
Candidate of Medical Sciences
Russian Federation, SamaraReferences
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