Artificial intelligence technology in MR neuroimaging. А radiologist’s perspective
https://doi.org/10.18705/2782-3806-2023-3-1-6-17
Abstract
Artificial Intelligence (AI) has been the subject of particular interest in the field of radiology in recent years. Experts believe that the development and implementation of AI technologies will improve diagnostic accuracy, speed up the acquisition of objective information, reduce its variability, and optimize the workflow of diagnostic departments of medical institutions. Over the years, AI has evolved from simple rule-based systems to sophisticated deep-learning algorithms capable of analysing medical images with high accuracy.
Despite some progress, the use of AI in medical imaging is still limited. There are many challenges that need to be overcome before it can be widely adopted in clinical practice. For example, training AI algorithms require large amounts of high quality annotated data, and such data is not yet available for the bulk of pathology and any of the imaging techniques. This article looks at the possibilities of AI and some of the current challenges associated with the application of AI in neuroimaging.
About the Authors
G. E. Trufanov
Федеральное государственное бюджетное учреждение «Национальный медицинский исследовательский центр имени В. А. Алмазова» Министерства здравоохранения Российской Федерации, Научный центр мирового уровня «Центр персонализированной медицины»
Russian Federation
Russian Federation
Trufanov Gennadiy E., MD, PhD, professor, chief researcher of the Radiation Diagnostics Research Department, head of Radiation Diagnostics and Medical Imaging Department
Saint Petersburg
A. Yu. Efimtsev
Almazov National Medical Research Centrе, World-Class Research Centre for Personalized Medicine
Russian Federation
Russian Federation
Efimtsev Aleksandr Yu., PhD, Associate Professor of Radiation Diagnostics and Medical Imaging Department, leading researcher of Radiation Diagnostics Research Laboratory; Leading Researcher of the Research Laboratory of Radiation Imaging, Leading Researcher of the Group for Personalized Treatment of Postmastectomy Syndrome
, Akkuratova str., 2, Saint Petersburg, Russia, 197341
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Review
For citations:
Trufanov G.E., Efimtsev A.Yu. Artificial intelligence technology in MR neuroimaging. А radiologist’s perspective. Russian Journal for Personalized Medicine. 2023;3(1):6-17. (In Russ.) https://doi.org/10.18705/2782-3806-2023-3-1-6-17
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