Email this article Synthetic Datasets: Opportunities for Development оf Medical Artificial Intelligence Products
- Authors: Shamaev D.M.1, Zayats V.V.1, Orlov S.B.1, Shirinyan A.A.1
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Affiliations:
- Resource Center for Universal Design and Rehabilitation Technologies
- Issue: No 1 (2023)
- Pages: 100-107
- Section: Analysis of Textual and Graphical Information
- URL: https://journals.rcsi.science/2071-8594/article/view/269821
- DOI: https://doi.org/10.14357/20718594230110
- ID: 269821
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Abstract
Currently, intelligent solutions and artificial intelligence products are being intensively developed for various areas of life, including healthcare. Process of creating and implementing medical AI products is a time-consuming and costly process. The authors of the article consider the potential possibility of accelerating the development and implementation of medical AI products, primarily due to a new solution - the synthetic datasets. The key factors associated with the training datasets collecting are analyzed, including synthetic ones that shorten the development time and improve the quality of products AI based technology.
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About the authors
Dmitry M. Shamaev
Resource Center for Universal Design and Rehabilitation Technologies
Author for correspondence.
Email: shamaev.dmitry@yandex.ru
Candidate of technical sciences. Researcher
Russian Federation, MoscowVitaliy V. Zayats
Resource Center for Universal Design and Rehabilitation Technologies
Email: vvzayats@rcud-rt.ru
Candidate of medical sciences, docent. Director
Russian Federation, MoscowSergey B. Orlov
Resource Center for Universal Design and Rehabilitation Technologies
Email: SBOrlov@rcud-rt.ru
Head of Design and Methodological Department
Russian Federation, MoscowAlbert A. Shirinyan
Resource Center for Universal Design and Rehabilitation Technologies
Email: aashirinyan@rcud-rt.ru
Programmer-Researcher
Russian Federation, MoscowReferences
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