Artificial intelligence in tuberculosis detection. Opportunities and prospects


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Abstract

In the period of global digitalization of medicine, one of the promising areas is the organization of population screening with artificial intelligence (AI), above all, for socially significant diseases. In our country, these are annual fluorographic examinations for tuberculosis. The transition to digital fluorography has already predetermined positive trends in a systematic approach to the timely detection of tuberculosis. The prospects for further improvement of screening for tuberculosis are determined primarily by the need for a systematic approach to routine repetitive studies, which involves the use of AI to recognize the disease, to select and form groups for further examination by a medical specialist. Whether this is possible in the near future and how the creation of AI is going on is discussed in this review.

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About the authors

E. A Borodulina

Samara State Medical University

Email: borodulinbe@yandex.ru
Borodulina, MD

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