"This is a guide to creating correctly labeled data sets that will

[tanjimajuha20]

he Moscow Center for Diagnostics and Telemedicine has released a tutorial on preparing a dataset for artificial intelligence (AI). It is intended primarily for medical students and AI-based software testers.

be used to develop, train and georgia whatsapp number database test software based on AI technology. There are no analogues of such a manual in the world, its authors are Moscow scientists who organized and supported the world's largest experiment in introducing computer vision into healthcare, practitioners who created methods for labeling data sets, tested algorithms, and developed the first Russian GOSTs for working with AI. Their experience formed the basis of the material. Given the forecast for personnel needs in the field of working with neural networks, the manual is currently more than in demand," said Yuri Vasiliev, Director of the Diagnostics and Telemedicine Center of the Moscow Department of Health.

The full title of the manual is "Preparing a data set for training and testing software based on artificial intelligence technology." It contains information that supplements and partially replaces the textbook for students in the specialties of "general medicine," "pediatrics," "dentistry," "radiology," "medical cybernetics," and "medical biophysics." According to the authors, the materials will be useful not only for health care workers, but also for those studying to become a testing specialist in the field of information technology.

"The manual is also recommended by the Coordinating Council for the field of education "Healthcare and Medical Sciences" for use in educational institutions implementing programs of additional professional education for doctors studying the discipline "Public Health and Healthcare", added a representative of the press service of the diagnostics and telemedicine center of the Moscow Department of Health.

Pavel Frolov, founder and producer of the company that develops and manufactures robotic EdTech kits "Robbo", noted that the manual will be useful for software developers and students of IT specialties: "With the help of the manual, students can study the stages of the life cycle of a data set in the healthcare sector, understand the algorithm for their creation and learn how to get rid of defects and errors when developing data sets."