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Title:Uporabnost umetne inteligence v sodobni fitoterapiji
Authors:ID Injac, Rade (Author)
ID Kočevar Glavač, Nina (Author)
Files:.pdf PDF - Presentation file, download (729,66 KB)
MD5: 5E68B3AD76F72AF6160674BA118E1B23
 
Language:Slovenian
Typology:1.02 - Review Article
Organization:Logo SFD - Slovenian Pharmaceutical Society
Abstract:Integracija umetne inteligence v sodobno fitoterapijo nadgrajuje tradicionalne pristope proučevanja zdravilnih rastlin, saj ponuja napredna orodja za njihove raziskave, razvoj in klinično uporabo. Umetna inteligenca omogoča hitro in zanesljivo identifikacijo rastlinskih vrst, analizo bioaktivnih spojin, napovedovanje terapevtskih učinkov ter optimizacijo formulacij za ciljno usmerjene terapije. Razvija se tudi na področju personalizacije fitoterapije, katere cilj je z individualnim prilagajanjem zdravljenja glede na genetske, presnovne in okoljske dejavnike posameznika zagotoviti optimalen načrt zdravljenja oz. obravnave. Kljub nedvomnim prednostim pa se umetna inteligenca sooča tudi z izzivi, kot so ne ustrezna kakovost vhodnih in izhodnih podatkov, potreba po interdisciplinarnem sodelovanju ter etične in regulativne omejitve, ki trenutno njeno uporabo omejujejo. V članku naslavljamo ključne točke integracije umetne inteligence v sodobno fitoterapijo.
Keywords:bioaktivne spojine
Publication status:Published
Publication version:Version of Record
Publication date:01.07.2025
Year of publishing:2025
Number of pages:str. 170-176
Numbering:Letn. 76, št. 3
PID:20.500.12556/DiRROS-27591 New window
UDC:004.89:615.322
ISSN on article:0014-8229
COBISS.SI-ID:245880067 New window
Publication date in DiRROS:13.02.2026
Views:45
Downloads:10
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Record is a part of a journal

Title:Farmacevtski vestnik : strokovno glasilo slovenske farmacije
Shortened title:Farm. vestn.
Publisher:Slovensko farmacevtsko društvo
ISSN:0014-8229
COBISS.SI-ID:3105794 New window

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:English
Title:Usability of artificial intelligence in modern phytotherapy
Abstract:The integration of artificial intelligence into modern phytotherapy enhances traditional approaches to the study of medicinal plants and provides advanced tools for their research, development and clinical application. Artificial intelligence facilitates the rapid and reliable identification of plant species, the analysis of bioactive compounds, predicts their therapeutic effects and optimises formulations for targeted treatments. Artificial intelligence also improves personalisation in phytotherapy by tailoring interventions to individual genetic, metabolic and environmental factors. Despite its undisputed benefits, artificial intelligence also faces challenges such as the insufficient quality of input and output data, the need for interdisciplinary collaboration, and ethical and regulatory issues that currently limit its use. In this article, we address the key points of integrating artificial intelligence into modern phytotherapy.
Keywords:artificial intelligence, bioactive compounds, phytotherapy, medicinal plants


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