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Difficulties and limitations in integrating artificial intelligence in healthcare

Authors: Buziashvili Yu.I., Matskeplishvili S.T., Asymbekova E.U., Akildzhonov F.R.

Company: Bakoulev National Medical Research Center for Cardiovascular Surgery, Moscow, Russian Federation

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Type:  Clinical Cases


DOI: https://doi.org/10.24022/1997-3187-2025-19-1-105-114

For citation: Buziashvili Yu.I., Matskeplishvili S.T., Asymbekova E.U., Akildzhonov F.R. Difficulties and limitations in integrating artificial intelligence in healthcare. Creative Cardiology. 2025; 19 (1): 105–114 (in Russ.). DOI: 10.24022/1997-3187-2025-19-1-105- 114

Received / Accepted:  21.02.2025 / 03.03.2025

Keywords: artificial intelligence healthcare algorithms



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Abstract

Рroviding high-quality healthcare is not an easy task and requires the creation of more convenient mechanisms for its functioning. Based on this, the healthcare system around the world is making great efforts to find new information technologies and processes that can reduce costs and find solutions to a growing range of problems. The introduction of artificial intelligence into the healthcare system faces barriers both inside and outside the medical sector. Data privacy, social and ethical issues and the difficulties faced by developers are among the limitations on the successful integration in medicine. The main goal of modern scientists is to develop a full-fledged universal algorithm with a high degree of privacy and security. Collaboration between researchers, healthcare professionals, policymakers and experts in the field of advanced technologies is important to overcome these barriers. This is due to the development of comprehensive guidelines, regulatory frameworks and technical solutions, with a special focus on privacy and transparency, can change the concept of providing medical care and improve the quality of diagnosis and treatment of patients, while observing generally accepted ethical standards.

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About Authors

  • Yuriy I. Buziashvili, Dr. Med. Sci., Professor, Academician of the Russian Academy of Sciences, Head of the Clinico-Diagnostic Department; ORCID
  • Simon T. Mackeplishvili, Dr. Med. Sci., Professor, Corresponding Member of Russian Academy of Sciences, Chief Researcher; ORCID
  • Elmira U. Asymbekova, Dr. Med. Sci., Leading Researcher; ORCID
  • Firdavsdzhon R. Akildzhonov, Postgraduate; ORCID

Chief Editor

Elena Z. Golukhova, MD, PhD, DSc, Professor, Academician of Russian Academy of Sciences, Director of Bakoulev National Medical Research Center for Cardiovascular Surgery


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