Application of artificial intelligence in medical data analysis

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Abstract

Artificial intelligence (AI) and machine learning are successfully used in medicine and solve a wide spectrum of tasks, gradually evolving from an additional tool into good assistants of medical personnel. The AI functioning is based on the analysis of medical data and their managements according to preset algorithms. Currently not only data obtained by objective examination and history assessment of the patient are used, but also results of the laboratory work-up and instrumental investigations. The use of such tools improves a physician's efficacy, releasing him from performance of a number of routine procedures, such as maintenance of a part of medical records and description of normal results of assessments. One of the important challenges of the AI use in medicine is the preparation of correct medical data for algorithm learning that requires a lot of time allocated by subject matter specialists. A potential solution could be a creation of a unified platform for medical findings archiving, where clinicians would be able to prepare data for the use of AI in their specialties. In future, it would make it possible to improve the efficacy of machine learning in medicine due to analysis of diverse data from various sources.

About the authors

A. I. Bursov

Ivannikov Institute for System Programming, Russian Academy of Sciences

Author for correspondence.
Email: bursov@ispras.ru

Andrey I. Bursov - Advisor for Information Technologies in Medicine and Healthcare

25 A. Solzhenitsyna ul., Moscow, 109004, tel.: +7 (495) 912 46 14

 

Russian Federation

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Copyright (c) 2019 Bursov A.I.

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