Research on the quality of color reproduction by different display systems

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Kovalskyi B. M., Holubnyk T. S., Мусулевський Я. А. № 2 (69) 65-75 Image Image

The need for effective and rapid dissemination of medical information is constantly growing in terms of its ever-increasing volume and complexity. Traditional methods of creating and distributing medical publications are often laborious, time-consuming, and may be less accessible to a wide audience. At the same time, the development of artificial intelligence (AI) technologies opens up new opportunities for optimizing and automating many stages of this process, from data collection and analysis to the creation and distribution of the final product. However, certain challenges are associated with using AI in this area, such as ensuring the reliability and quality of generated content, addressing ethical issues related to data use, and ensuring information confidentiality and security.

The article presents the results of analytical research into the technological design of electronic network publications using artificial intelligence tools, which will increase the efficiency of their development and use. An analysis of electronic publications of a medical nature was carried out, including mobile versions of medical journals, an electronic medical library, modern medical resources, a catalogue of open access medical journals, their specifics, purpose and structure, a thesaurus of vocabulary, etc. were indicated. Factors that influence the formation of requirements for text content are identified. The directions for applying artificial intelligence tools in the creation of network electronic publications are outlined. The well-known technological process of producing electronic publications is described, which includes familiarization with the technical task, development of a prototype and design, its testing, the layout of text and illustrative information, its testing for presentation in possible formats, and functional testing.

A flowchart for designing electronic medical publications has been developed based on an analysis of the technical capabilities of artificial intelligence tools for automated search, processing, presentation, and reproduction of information content.

Keywords: electronic medical publications, artificial intelligence, design, network technologies.

doi: 10.32403/1998-6912-2024-2-69-55-64


  • 1. Mobilni versii medychnykh zhurnaliv. (n.d.). Retrieved from https://medical-club.net/uk/mobilnye-versii-medicinskih-zhurnalov/#medjurua5 (in Ukrainian).
  • 2. Medychni resursy. Periodychni vydannia, tsyfrovi biblioteky, vidkryti osvitni resursy. (n.d.). Retrieved from https://library.vnu.edu.ua/resource/oar/medical-resources/ (in Ukrainian).
  • 3. Elektronni medychni zhurnaly. Biblioteka Odeskoho natsionalnoho medychnoho universytetu. (n.d.). Retrieved from http://libblog.odmu.edu.ua › blog-page_64 (in Ukrainian).
  • 4. Dubchak, A., & Lytvynenko, Ya. (2020). Napriamy vykorystannia shtuchnoho intelektu za suchasnykh umov. Ivan Puliui: zhyttia v imia nauky ta Ukrainy (do 175-littia vid dnia narodzhennia), Materialy mizhnarodnoi naukovoi konf., Ternopil: FOP Palianytsia V. A., 64–65.  (in Ukrainian).
  • 5. Palahin, O.V., Kurhaiev, O.P., & Shevchenko, A.I. (2017). Noosferna paradyhma rozvytku nauky ta shtuchnyi intelekt: Kibernetyka i systemnyi analiz, 53(4), 16. (in Ukrainian).
  • 6. Mykhalchuk, V. I. (2018). Personalizatsiia kontentu v tsyfrovykh media. Kyiv: Akademiia nauk Ukrainy. (in Ukrainian).
  • 7. ChatGPT. (n.d.). Retrieved from https://chatgpt.com/.
  • 8. Lancaster, T. (2023). Artificial intelligence, text generation tools and ChatGPT – does digital watermarking offer a solution? :International Journal for Educational Integrity, 19 (10). DOI: 10.1007/s40979-023-00131-6. (in English).
  • 9. OpenArt. (n.d.). Retrieved from https://openart.ai/create.
  • 10. Canva. (n.d.). Retrieved from https://www.canva.com/.
  • 11. Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. (in English).
  • 12. Rassel, S. (2020). Sumisnyi z liudynoiu. Shtuchnyi intelekt i problema kontroliu (in Ukrai­nian).
  • 13. Mollick, E. (2020). Co-Intelligence: Living and Working with AI, Philadelphia (in English).
  • 14. Burgess, A. (2018).The Executive Guide to Artificial Intelligence. How to identify and implement applications for AI in your organization. London: AJBurgess Ltd (in English).