vitjВрач и информационные технологииMedical Doctor and Information Technologies1811-01932413-5208Pirogov National Medical and Surgical Center10.25881/18110193_2024_2_6vitj-46Research ArticleОБЗОРЫREVIEWSПерспективы применения информационно-коммуникационной технологии Chat-GPT при организации медицинской помощи пациентам с сахарным диабетом: краткий обзор зарубежной литературыProspects for the application of Chat-GPT in organizing medical care for patients with diabetes (brief review of international literature)АндреевД. А.AndreevD. A.

к.м.н.

PhD

AndreevDA@zdrav.mos.ruКамынинаН. Н.KamyninaN. N.

д.м.н., профессор

DSc

KamyninaNN@zdrav.mos.ruГБУ «НИИОЗММ ДЗМ»РоссияState Budgetary Institution «Research Institute for Healthcare Organization and Medical Management of Moscow Health Department»Russian Federation20240208202402611Copyright © Андреев Д.А., Камынина Н.Н., 20242024Андреев Д.А., Камынина Н.Н.Andreev D.A., Kamynina N.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vit-j.ru/jour/article/view/46

Введение. Одной из новых разработок в области искусственного интеллекта (ИИ) является технология Chat-GPT (Generative Pre-trained Transformer) – емкая лингвистическая модель, основанная на анализе больших данных с помощью мощных вычислительных систем путем применения определенных алгоритмов. Подобные технологии способны «понимать» и составлять тексты приближенные к тем, которые создаёт человек. Их совершенствование и внедрение может привести к повышению качества и доступности медицинской помощи пациентам, включая больных с сахарным диабетом (СД).Целью данной работы стало обобщение всех доступных и релевантных зарубежных сведений о применимости технологии Chat-GPT у пациентов с СД.Материалы и методы. Для поиска релевантных источников информации использовалась библиографическая база PubMed / Medline. В поисковом запросе применялась строка «ChatGPT diabetes».Результаты. Chat-GPT является достаточно новой технологией ИИ (старт применения – ноябрь 2022 года), и на настоящий момент опубликованы лишь немногочисленные сведения о возможностях ее внедрения, в том числе в эндокринологическую практику лечения пациентов с СД. В работе систематизированы и обобщены подходы к оценке перспектив её применения, суммированы ее свойства и характеристики. Результаты редких исследований показывают, что Chat-GPT обладает способностью во многих случаях предоставлять ценную информацию о СД. Тем не менее, необходимо подходить с большой осторожностью к использованию этой технологии, поскольку система не всегда генерирует полностью правильные, точные и развёрнутые ответы. Следует разработать механизм оценки качества ответов подобных систем.Заключение. Данное исследование ограничивается сведениями, представленными в открытых источниках. Целесообразно продолжить исследования точности и аккуратности Chat-GPT. Очевидно, что доработка системы путем обучения на больших массивах медицинских данных, обновляющихся в реальном времени, откроет новые перспективы ее применения

One of the new developments in the field of artificial intelligence (AI) is the Chat-GPT (Generative Pre-trained Transformer) technology, a capacious linguistic model based on the analysis of big data using powerful computing systems through the aggregation of certain algorithms. Such technologies are capable of “understanding” and composing texts close to those created by humans. Their improvement and implementation can lead to better quality and accessibility of medical care for patients, including patients with diabetes mellitus (DM).The aim of this work was to summarize all available and relevant information about the applicability of Chat-GPT technology in patients with DM.Materials and methods. The search for relevant information sources was carried out through Pubmed / Medline database. “ChatGPT diabetes” was used as search combination.Results. Chat-GPT is a fairly new AI technology (start of use - November 2022), and there is a limited amount of published data available regarding its implementation in treatment of patients with DM. This review systematizes and generalizes approaches to assessing the prospects for Chat-GPT application as well as summarizes some its characteristics. Rare research results show that Chat-GPT has the ability to provide valuable information about diabetes in many cases. However, it is necessary to approach the use of this technology with great caution since the system does not always generate completely correct, accurate and detailed answers. A mechanism for assessing the quality of responses from such systems should be developed.Conclusion. This study is limited to information available in open sources. It is rational to continue studies of Chat-GPT accuracy and precision. It is obvious that improving the system by training on large amounts of medical data updated in real time might open up new prospects for its application.

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The authors declare that there are no conflicts of interest present.