Sociology of MedicineSociology of MedicineСоциология медицины1728-28102413-2942Eco-Vector10605410.17816/socm106054THE DIGITAL WORLDЦИФРОВОЙ МИРReview ArticleAchievements and prospects for the application of artificial intelligence technologies in medicine: an overview. Part 1Применение искусственного интеллекта в медицине: достижения и перспективы. Обзор литературы. Часть 1https://orcid.org/0000-0003-3211-08998316-7111BerdutinVitaly A.БердутинВиталий Анатольевич
Russian Federation

MD, Cand. Sci. (Med.)

к.м.н.

vberdt@gmail.comhttps://orcid.org/0000-0001-7403-77445602-2435AbaevaOlga P.АбаеваОльга Петровна
Russian Federation

MD, Dr. Sci. (Med.), associate professor

д.м.н., доцент

abaevaop@inbox.ruhttps://orcid.org/0000-0001-6328-079X4943-6121RomanovaTatyana E.РомановаТатьяна Евгеньевна
Russian Federation

MD, Cand. Sci. (Med.)

к.м.н.

romanova_te@mail.ruhttps://orcid.org/0000-0002-1815-54369014-6344RomanovSergey V.РомановСергей Владимирович
Russian Federation

MD, Dr. Sci. (Med.), associate professor

д.м.н., доцент

pomcdpo@mail.ruVolga District Medical CenterПриволжский окружной медицинский центрSechenov First Moscow State Medical University (Sechenov University),Первый Московский государственный медицинский университет им. И.М. Сеченова (Сеченовский Университет)Sechenov First Moscow State Medical University (Sechenov University)Первый Московский государственный медицинский университет им. И.М. Сеченова (Сеченовский Университет)301120221701202221183960704202206072022Copyright ©; 2022, Eco-VectorCopyright ©; 2022, ООО "Эко-Вектор"2022Eco-VectorООО "Эко-Вектор"https://rjsocmed.com/1728-2810/article/view/106054

On a global scale, a radical transformation of the healthcare sector is taking place right before our eyes. Health care systems in many countries are changing at an incredible pace under the pressure of innovative digital platforms that have gained popularity under the names of artificial intelligence (AI) and machine learning (ML). AI systems, powered by massive amounts of data collected from everywhere, are able to guarantee optimal decision making for key players in the healthcare industry, from the pharmaceutical industry to the smallest healthcare providers. This article presents the results of the analysis of achievements and prospects for the use of innovative digital technologies and platforms in modern health care. According to international experts in medicine, it is possible to automate 36% of functions, primarily at the levels of data collection and analysis, and the use of AI technologies can significantly increase the gross profit of firms and organizations in relation to medical activities. There is no doubt about this since information has already become the main driver of management across all sectors of the global economy in general and in the health care sector in particular. The main motivations for the penetration of AI into health care are the escalating costs and the urgent need to limit them, the problem of poor-quality diagnostics (up to 30% of ongoing studies turn out to be unreliable or are misinterpreted) and the desire for standardization and automation of routine functions up to the creation of self-managed diagnostic models. However, the biggest challenge for AI in healthcare is not whether these technologies will be useful enough, but how to ensure that they are quickly and efficiently implemented in everyday clinical practice.

Системы оказания медицинской помощи многих стран с невероятной быстротой видоизменяются под давлением инновационных цифровых платформ, приобретших популярность под названиями «искусственный интеллект» (англ. «artificial intelligence», AI) и «машинное обучение» (англ. «machine learning»)». Оперирующие собираемыми отовсюду массивами данных, системы AI способны гарантированно обеспечить принятие оптимальных решений ключевым игрокам отрасли здравоохранения, начиная от гигантов фармацевтической индустрии и заканчивая самыми мелкими поставщиками медицинских услуг. В статье представлены достижения и перспективы использования инновационных цифровых технологий и платформ в современном здравоохранении. По сведениям международных экспертов, в медицине возможно автоматизировать 36% функций, прежде всего на уровнях сбора и анализа данных, а применение технологий AI способно значительно увеличить валовую прибыль фирм и организаций, связанных с медицинской деятельностью. Основной мотивацией для проникновения AI в систему здравоохранения служат перманентный рост затрат и острая необходимость в их ограничении, а также проблема некачественной диагностики (до 30% проводящихся исследований на поверку оказываются недостоверными либо неверно интерпретируемыми) и стремление к стандартизации и автоматизации рутинных функций вплоть до создания самоуправляемых диагностических моделей. Вместе с тем самая большая проблема для AI в здравоохранении заключается не в том, будут ли эти технологии достаточно полезными, а в том, чтобы обеспечить их быстрое и эффективное внедрение в повседневную клиническую практику.

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