The site of the Media Sphera Publishers contains materials intended solely for healthcare professionals.
By closing this message, you confirm that you are a certified medical professional or a student of a medical educational institution.

Login
EN
+7 (495) 482-4118
+7 (495) 482-4329
+8 800 250-18-12
  • (toll-free number for subscriptions)
    Mon-Fri from 10 a.m. to 6 p.m.

  • © 1998-2026
+7 (495) 482-43-29
EN
All journals
Journal
Year
Year
Search result: 0

Kryukov A.I.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Garov E.V.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Sudarev P.A.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Zelenkova V.N.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Kiselyus V.E.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Khublaryan A.G.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Petrashko U.E.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Videomics in otorhinolaryngology: history of development and prospects of technology implementation

Authors:

Kryukov A.I., Garov E.V., Sudarev P.A., Zelenkova V.N., Kiselyus V.E., Khublaryan A.G., Petrashko U.E.

More about the authors

Journal: Russian Bulletin of Otorhinolaryngology. 2025;90(5): 67‑71

DOI: 10.17116/otorino20259005167

Read: 401 times

Buy for 300₽
Contact the author
Table of contents

VIDEOMICS IN OTORHINOLARYNGOLOGY: HISTORY OF DEVELOPMENT AND PROSPECTS OF TECHNOLOGY IMPLEMENTATION
VIDEOMICS IN OTORHINOLARYNGOLOGY: HISTORY OF DEVELOPMENT AND PROSPECTS OF TECHNOLOGY IMPLEMENTATION

To cite this article:

Kryukov AI, Garov EV, Sudarev PA, Zelenkova VN, Kiselyus VE, Khublaryan AG, Petrashko UE. Videomics in otorhinolaryngology: history of development and prospects of technology implementation. Russian Bulletin of Otorhinolaryngology. 2025;90(5):67‑71. (In Russ.)
https://doi.org/10.17116/otorino20259005167

Подписка 2026 Вестник оториноларингологии (Russian Bulletin of Otorhinolaryngology)
МСФ на ЯМ
Использование инфографики авторами научных работ
Recommended articles:
Performance evaluation resu­lts of an arti­ficial neural network deve­loped for the purpose of classifying otoendoscopic images. Russian Bulletin of Otorhinolaryngology. 2025;(3):9-12
Factors of delayed gastric emptying after pancreaticoduodenectomy. Piro­gov Russian Journal of Surgery. 2025;(4):23-29
Abstract:

The article deals with the issue of implementation of artificial intelligence development and prospects for the introduction of videomics in otorhinolaryngology. Videomics helps in diagnostics and treatment of ear diseases — they allow to classify and segment pathologies with high accuracy. To improve the performance of the algorithms, it is necessary to expand the image bank with attention to complex endosocopic pictures. The article emphasises the importance of addressing ethical and legal issues related to the implementation of artificial intelligence to ensure its effective use in medical practice.

Keywords:

artificial neural network
videomics
otoscopy
tympanic membrane

Authors:

Kryukov A.I.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Garov E.V.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Sudarev P.A.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Zelenkova V.N.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Kiselyus V.E.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Khublaryan A.G.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Petrashko U.E.

Sverzhevsky Research Clinical Institute of Otorhinolaryngology

Received:

20.11.2024

Accepted:

14.05.2025

Close metadata

References:

  1. Lovelace A. Sketch of the Analytical Engine (1843). In: Literature and Science in the Nineteenth Century. Oxford University Press; 2009. https://doi.org/10.1093/owc/9780199554652.003.0008
  2. Yu VL, Fagan LM, Wraith SM, Clancey WJ, Scott AC, Hannigan J, Blum RL, Buchanan BG, Cohen SN. Antimicrobial selection by a computer. A blinded evaluation by infectious diseases experts. JAMA. 1979;242(12):1279-1282. https://doi.org/10.1001/jama.1979.03300120033020
  3. Dwivedi Y, Hughes L, Ismagilova EU, Aarts G, Coombs C, Crick T, Duan Y, Dwivedi R, Edwards J. Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management. 2019;57:101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
  4. Kolesnichenko OY, Martynov AV, Pulit VV, Kolesnichenko YuYu, Shakirov VV, Mazelis LS, Varlamov OO, Minushkina LO, Sotnik AYu, Smorodin GN, Zhaparov MK. Modern advanced level of artificial intelligence for smart medicine. Remedium. 2019;4:36-43. (In Russ.). https://doi.org/10.21518/1561-5936-2019-04-36-43
  5. Sozykin AV. Review of training methods for deep neural networks. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta. Seriya: Vychislitel’naya matematika i informatika. 2017;3:28-59. (In Russ.). https://doi.org/10.14529/cmse170303
  6. Paderno A, Gennarini F, Sordi A, Montenegro C, Lancini D, Villani FP, Moccia S, Piazza C. Artificial intelligence in clinical endoscopy: Insights in the field of videomics. Frontiers in Surgery. 2022;9:933297. https://doi.org/10.3389/fsurg.2022.933297
  7. Piazza C, Paderno A, Montenegro C, Sordi A, Gennarini F. Accelerating Endoscopic Diagnosis by Videomics: The Synergy of Artificial Intelligence and Clinical Endoscopy. Journal of Head and Neck Physicians and Surgeons. 2023;11(1):8-12.  https://doi.org/10.4103/jhnps.jhnps_28_23
  8. Korneenkov AA, Ryazantsev SV, Vyazemskaya EE. Calculation and interpretation of indicators of informativeness of diagnostic medical technologies. Medical Council. 2019;20:45-51. (In Russ.). https://doi.org/10.21518/2079-701X-2019-20-45-51
  9. Wasmann JW, Pragt L, Eikelboom R, Swanepoel W. Digital Approaches to Automated and Machine Learning Assessments of Hearing: Scoping Review. Journal of Medical Internet Research. 2022;24(2):e32581. https://doi.org/10.2196/32581
  10. Xiong H, Lin P, Yu JG, Ye J, Xiao L, Tao Y, Jiang Z, Lin W, Liu M, Xu J, Hu W, Lu Y, Liu H, Li Y, Zheng Y, Yang H. Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images. EBioMedicine. 2019;48:92-99.  https://doi.org/10.1016/j.ebiom.2019.08.075
  11. Anh DT, Takakura H, Asai M, Ueda N, Shojaku H. Application of machine learning in the diagnosis of vestibular disease. Scientific Reports. 2022;12(1):20805. https://doi.org/10.1038/s41598-022-24979-9
  12. Byun H, Park CJ, Oh SJ, Chung MJ, Cho BH, Cho YS. Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm. Ear and Hearing. 2022;43(5):1563-1573. https://doi.org/10.1097/AUD.0000000000001217
  13. Mamidi IS, Dunham ME, Adkins LK, McWhorter AJ, Fang Z, Banh BT. Laryngeal Cancer Screening During Flexible Video Laryngoscopy Using Large Computer Vision Models. The Annals of Otology, Rhinology, and Laryngology. 2024;133(8):720-728.  https://doi.org/10.1177/00034894241253376
  14. Myburgh HC, van Zijl WH, Swanepoel D, Hellström S, Laurent C. Otitis Media Diagnosis for Developing Countries Using Tympanic Membrane Image-Analysis. EBioMedicine. 2016;5:156-160.  https://doi.org/10.1016/j.ebiom.2016.02.017
  15. Lee JY, Choi S-H, Chung JW. Automated Classification of the Tympanic Membrane Using a Convolutional Neural Network. Applied Sciences. 2019;9(9):1827. https://doi.org/10.3390/app9091827
  16. Viscaino M, Maass JC, Delano PH, Torrente M, Stott C, Auat Cheein F. Computer-aided diagnosis of external and middle ear conditions: A machine learning approach. PLoS One. 2020;15(3): e0229226. https://doi.org/10.1371/journal.pone.0229226
  17. Zeng X, Jiang Z, Luo W, Li H, Li H, Li G, Shi J, Wu K, Liu T, Lin X, Wang F, Li Z. Efficient and accurate identification of ear diseases using an ensemble deep learning model. Scientific Reports. 2021;11(1):10839. https://doi.org/10.1038/s41598-021-90345-w
  18. Choi Y, Chae J, Park K, Hur J, Kweon J, Ahn JH. Automated multi-class classification for prediction of tympanic membrane changes with deep learning models. PLoS One. 2022;17(10):e0275846. https://doi.org/10.1371/journal.pone.0275846
  19. Folino F, Caruso M, Bosi P, Aldè M, Torretta S, Marchisio P. mAcute otitis media diagnosis in childhood: still a problem in 2023? Italian Journal of Pediatrics. 2024;50(1):19.  https://doi.org/10.1186/s13052-024-01588-y
  20. Deev IA, Kobyakova OS, Starodubov VI, Aleksandrova GA, Golubev NA, Oskov YuI, Polikarpov AV, Shelepova EA. Zabolevaemost’ vsego naseleniya Rossii v 2023 godu: statisticheskie materialy. FGBU «TsNIIOIZ» Minzdrava Rossii; 2024. (In Russ.). https://doi.org/10.21045/978-5-94116-160-7-2024
  21. Heward E, Lunn J, Birkenshaw-Dempsey J, Molloy J, Isba R, Ashcroft DM, Hay AD, Nichani JR, Bruce IA. Exploring the burden of paediatric acute otitis media with discharge in the UK: a qualitative study. BMJ Pediatrics Open. 2024;8(1):e003012. https://doi.org/10.1136/bmjpo-2024-003012
  22. Bhatia R, Chauhan A, Rana M, Kaur K, Pradhan P, Singh M. Economic Burden of Otitis Media Globally and an Overview of the Current Scenario to Alleviate the Disease Burden: A Systematic Review. International Archives of Otorhinolaryngology. 2024;28(3):e552-e558. https://doi.org/10.1055/s-0043-1767802
  23. Arambula AM, Bur AM. Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology. Otolaryngology — Head and Neck Surgery. 2020;162(1):38-39.  https://doi.org/10.1177/0194599819889686
  24. Filipova IA. Neural networks: application, issues of ethics and law. Vestnik Yuzhno-Ural’skogo gosudarstvennogo universiteta. Seriya: Pravo. 2024;4:76-81. (In Russ.). https://doi.org/10.14529/law230411
  25. You E, Lin V, Mijovic T, Eskander A, Crowson MG. Artificial Intelligence Applications in Otology: A State of the Art Review. Otolaryngology — Head and Neck Surgery. 2020;163(6):1123-1133. https://doi.org/10.1177/0194599820931804
Contact the author
Email
Message
The publishing house "Media Sphere" does not provide treatment services, does not give recommendations on contacting medical institutions and specific specialists, on the prescription of medicines and dietary supplements.

Email Confirmation

An email was sent to test@gmail.com with a confirmation link. Follow the link from the letter to complete the registration on the site.

Email Confirmation

Contact us
If you have any questions, complaints or suggestions, please use this feedback form.
Email
Message
The publishing house "Media Sphere" does not provide treatment services, does not give recommendations on contacting medical institutions and specific specialists, on the prescription of medicines and dietary supplements.
Submit Application

You can become an author of one of our magazines, send a request and we will consider it in during the day.

Name
Phone
E-mail
Message
Login
Registration
E-mail
Password
Forgot Password?

Log in to the site using your account in one of the services

Password recovery
E-mail
Login
Register

We use cооkies to improve the performance of the site. By staying on our site, you agree to the terms of use of cооkies. To view our Privacy and Cookie Policy, please. click here.