Effect of artificial intelligence on publication performance of physicians involved in medical research

European Heart Journal - Digital Health, 2026

Полный текст Открытый доступ: Gold Метаданные (CSL-JSON)
DOI 10.1093/ehjdh/ztaf143.020
Достоверность данных 70 средняя
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Складывается из проверяемых признаков самой записи: есть ли у статьи DOI, сколько независимых источников подтвердили её данные, заполнены ли обязательные поля и насколько свежо последнее подтверждение. Снижают оценку расхождения между источниками и отсутствие идентификатора. Значение от 80 означает, что запись опубликована без дополнительной проверки; от 60 до 79 — что она опубликована с пониженной достоверностью и ручная проверка желательна. Запись, выверенную редактором вручную, пересчёт не опускает ниже 90. Это оценка наших данных о статье, а не оценка самой статьи.

Аннотация

Abstract Artificial Intelligence (AI) tools are used in the academic research, clinical practice and education in medicine. However, few is known on the impact of AI tools used on publication performance of researchers. Purpose: The aim of our study was to explore the level of AI tools use among physicians and relevant disciplines involved in medical research and assess their impact on publication performance. Methods: Anonymous survey study was conducted according to COREQ guidelines. The questionnaire was prepared and distributed among physicians and relevant disciplines involves in medical research using Google survey form, or Adobe document, ‘snow-balling’ is allowed. For statistical analysis we used descriptive statistics and parametric paired t-test or nonparametric Friedman test, according to normality of distribution, were used for comparison of continuous variables before and after AI use. Results: 71 people agreed to participate, with a final group of 51 researchers from 10 countries (Australia, Brazil, Cyprus, Italy, Kazakhstan, Kyrgyzstan, Poland, Russia, Turkey, Ukraine). The participants mean age was 41.7±9.8 years, gender: male 22/43.1%, female 29/54.9%, prefer not to say 1/1.96%. Place of work: University – 19/37.2%, Academic/Teaching hospital – 21/41.17%, Local hospital -6/11.76, Private practice 2/3.92%, Other 2/3.92%, Scientific institution 1/1.96%. Position: Senior researcher /DSc/Senior faculty/full professor – 10/19.6% , PHD degree holder/PostDoc researcher/Junior faculty – 17/33.3%, PhD students – 14/27.4% , Fellows in training /Residents - 5/9.8% Intern - 1/2%, Other - 3/5.9%. Among 51 respondents 43/84.3% use AI and 8/15.7% did not, 33 knew the time for article preparation and 16 had Hirsch index or acquired Hirsch index after AI use. They mainly used: ChatGPT - 35/68.6%, DeepSeek - 12/23.5%, Grammarly - 13/25.4%, Humanize AI - 3/5.88%, other - 6/11.7%. (Fig. 1) Comparison of reported number of publications in indexed journals (SCOPUS, Clarivate, Pubmed) before and after AI use (Table 1) showed significant jncrease in publications after AI use (p< 0.001) and increase in Hirsch index (p=0.017). Conclusions: Our preliminary data showed that almost 71% of surveyed physicians use AI. Among AI tools ChatGPT is used most frequently by almost 76%. The use of AI tools increased quality of publications and academic performance , i.e. number of articles published in indexed SCOPUS, CLARIVATE, PUBMED, MEDLINE journals and increased Hirsch index. The time for preparation of article for publication showed trend to shorten.