ISSN 1728-2985
ISSN 2414-9020 Online

Usage of artificial intelligence in the clinical practice of urologists in observations with renal parenchymal neoplasms

Izmailova A.A., Glybochko P.V., Alayev Y.G., Butnaru D.V., Shpot E.V., Chernenkyi M.M., Chernenkyi I.M., Fiev D.N., Proskura A.V., Lobanov M.V., Konychev A.V., Sirota E.S., Ismailov K.M., Shurygina R.K., Zholdubaev A.A., Sarkisyan I.P.

Institute of Urology and Reproductive Health of the Human, First MSMU named after I.M. Sechenov of the Ministry of Health of Russia (Sechenov University), Moscow, Russia
Objective: to assess the needs and attitudes of urologists regarding the use of technologies related to artificial intelligence, particularly the web platform «Sechenov.AI_nephro», in the surgical treatment of patients with renal parenchymal neoplasms.
Materials and methods: a qualitative study was conducted through in-depth interviews. A questionnaire was developed for the interviews, including 14 categories of questions covering various aspects of the use of artificial intelligence (AI) aimed at optimizing preoperative planning for patients with renal parenchymal neoplasms. The study involved 8 urologists with extensive experience in the surgical treatment of patients with renal parenchymal neoplasms.
Results: the survey results highlight the growing interest in the implementation of AI technologies in medical practice.
Conclusion: in-depth interviews among urologists in Russia showed that there is a high interest in AI developments in urological practice. At the same time, successful integration of technologies requires overcoming several obstacles, including training specialists and ensuring data security. The «Sechenov.AI_nephro» platform has the potential to become an important tool in optimizing preoperative planning, but its success will depend on the readiness of physicians for new technologies and support from the medical community.

Keywords

in-depth interview
artificial intelligence
renal parenchymal cancer
3D modeling
automatic semantic segmentation

About the Authors

Corresponding author: А.А. Izmailova – 6th year student of Medical faculty in FGAOU VO I.M. Sechenov First Moscow State Medical University, Moscow, Russia; e-mail: izmailovaa20@gmail.com

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