Всего найдено: 12

Possibilities of artificial intelligence in computed tomography in childhood patients with obstructive sleep apnea syndrome

For quoting:
Khomutova E.Yu., Uralbaev A.A. "Possibilities of artificial intelligence in computed tomography in childhood patients with obstructive sleep apnea syndrome ". Journal Diagnostic & interventional radiology. 2025; 19(2); 93-100.

authors:

Khomutova E.Yu.

Uralbaev A.A.

keywords:

artificial intelligence

multispiral computed tomography

pediatric patients

obstructive sleep apnea syndrome

The RetinaNet neural network for processing ultrasound images: new prospects for early visualization of bladder cancer

For quoting:
Koroleva O.A., Salpagarova A.I., Yakubova A.M., Luk'yaev I.M., Zagajnov E.D., Izmajlova A.A., Shpot E.V., Chernenkiy M.M., Chernenkiy I.M., Amosov A.V., Fiev D.N., Proskura A.V., Lobanov M.V., Sirota E.S., Ismailov Kh.M., Shurygina R.K., Zholdubaev A.A., Vovlenko S.V., Allenov S.N., Glybochko P.V., Lumpov I.S. "The RetinaNet neural network for processing ultrasound images: new prospects for early visualization of bladder cancer ". Journal Diagnostic & interventional radiology. 2025; 19(2); 73-81.

authors:

Koroleva O.A.

Salpagarova A.I.

Yakubova A.M.

Luk'yaev I.M.

Zagajnov E.D.

Izmajlova A.A.

Shpot E.V.

Chernenkiy M.M.

Chernenkiy I.M.

Amosov A.V.

Fiev D.N.

Proskura A.V.

Lobanov M.V.

Sirota E.S.

Ismailov Kh.M.

Shurygina R.K.

Zholdubaev A.A.

Vovlenko S.V.

Allenov S.N.

Glybochko P.V.

Lumpov I.S.

keywords:

bladder cancer

diagnostics

ultrasound

artificial intelligence

neural network

Artificial intelligence in the diagnosis and treatment of neuro-oncological patients in practical neurosurgery

For quoting:
Podgornyak M.Yu., Trofimova T.N., Kamyshanskaya I.G., Simeshchenko P.I., Shcherban' A.E., Verbickij O.P. "Artificial intelligence in the diagnosis and treatment of neuro-oncological patients in practical neurosurgery ". Journal Diagnostic & interventional radiology. 2025; 19(2); 61-72.

authors:

Podgornyak M.Yu.

Trofimova T.N.

Kamyshanskaya I.G.

Simeshchenko P.I.

Shcherban' A.E.

Verbickij O.P.

keywords:

neurosurgery

artificial intelligence

thematic modeling in neurosurgery

neural networks

machine learning

radiomics

radiogenomics

Personalized determination of surgical treatment tactics in patients with renal parenchyma neoplasms using the «Sechenov.AI_nephro» web platform

For quoting:
Puzan A.A., Sirota E.S., Knyaziuk A.S., Volchek V.S., Zholdubaev A.A. "Personalized determination of surgical treatment tactics in patients with renal parenchyma neoplasms using the «Sechenov.AI_nephro» web platform ". Journal Diagnostic & interventional radiology. 2025; 19(2); 46-54.

authors:

Puzan A.A.

Sirota E.S.

Knyaziuk A.S.

Volchek V.S.

Zholdubaev A.A.

keywords:

artificial intelligence

three-dimensional technologies

automatic semantic segmentation

kidney cancer

laparoscopy

partial nephrectomy

Prediction of the morphology of renal parenchyma neoplasms using the automated web platform « Sechenov.AI_nephro» - the first experience

For quoting:
Konyshev A.V., Glybochko P.V., Alyaev Yu.G., Shpot E.V., Sirota E.S., Proskura A.V., Fiev D.N., Chernenkiy M.M., Chernenkiy I.M., Lobanov M.V., Ismailov Kh.M., Izmaylova А.А., Sarkisiayn I.P., Gurkina A.D., Kuznetsov I.A., Bochkarev P.V. "Prediction of the morphology of renal parenchyma neoplasms using the automated web platform « Sechenov.AI_nephro» - the first experience ". Journal Diagnostic & interventional radiology. 2025; 19(2); 30-37.

authors:

Konyshev A.V.

Glybochko P.V.

Alyaev Yu.G.

Shpot E.V.

Sirota E.S.

Proskura A.V.

Fiev D.N.

Chernenkiy M.M.

Chernenkiy I.M.

Lobanov M.V.

Ismailov Kh.M.

Izmaylova А.А.

Sarkisiayn I.P.

Gurkina A.D.

Kuznetsov I.A.

Bochkarev P.V.

keywords:

renal cell carcinoma

3D technologies

neural network technologies

artificial intelligence

radiomics

digital biopsy

machine learning

Application of artificial intelligence for bone age assessment in Russian medicine: experience of a hackathon (results of algorithm development for medical diagnostics)

For quoting:
Reznikov D.N., Kuligovsky D.V., Vorontsova I.G., Magomedova Z.M., Medvedev K.E., Petryaikin A.V., Petryaikina E.E., Erizhokov R.A., Omelyanskaya O.V., Vladzymyrskiy A.V., Vasilev Yu.A. "Application of artificial intelligence for bone age assessment in Russian medicine: experience of a hackathon (results of algorithm development for medical diagnostics) ". Journal Diagnostic & interventional radiology. 2024; 18(5); 6-14.

authors:

Reznikov D.N.

Kuligovsky D.V.

Vorontsova I.G.

Magomedova Z.M.

Medvedev K.E.

Petryaikin A.V.

Petryaikina E.E.

Erizhokov R.A.

Omelyanskaya O.V.

Vladzymyrskiy A.V.

Vasilev Yu.A.

keywords:

bone age

artificial intelligence

neural networks

hand radiography

pediatrics

radiological diagnostics

orphan diseases

Modern capabilities of the integrated neural network algorithm in the diagnosis of ischemic and hemorrhagic strokes

For quoting:
Medvedeva N.A., Kazieva M.Yu., Sidorova A.А., Filimonova N.A., Kokh V.N., Serova N.S., Sokolova E.B., Talybov R.S. "Modern capabilities of the integrated neural network algorithm in the diagnosis of ischemic and hemorrhagic strokes ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 152-159.

authors:

Medvedeva N.A.

Kazieva M.Yu.

Sidorova A.А.

Filimonova N.A.

Kokh V.N.

Serova N.S.

Sokolova E.B.

Talybov R.S.

keywords:

artificial intelligence in radiation diagnostics

artificial intelligence algorithms in the diagnosis of acute cerebrovascular accident

radiomics

stroke

machine learning in medicine

Radiologists in artificial intelligent development: an exploratory case study of automated scoliosis assessment on spinal radiographs

For quoting:
Kassab D.Kh.I., Kamyshanskaya I.G., Trukhan S.V. "Radiologists in artificial intelligent development: an exploratory case study of automated scoliosis assessment on spinal radiographs ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 147-151.

authors:

Kassab D.Kh.I.

Kamyshanskaya I.G.

Trukhan S.V.

keywords:

artificial intelligence

radiology

medical imaging

Sonographic characteristics of endometrial hyperplastic processes in menopausal women: possibilities of artificial intelligence assessment

For quoting:
Mamadalieva Ya.M., Shamsieva L.E., Stepanova Yu.A. "Sonographic characteristics of endometrial hyperplastic processes in menopausal women: possibilities of artificial intelligence assessment ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 129-135.

authors:

Mamadalieva Ya.M.

Shamsieva L.E.

Stepanova Yu.A.

keywords:

endometrial hyperplasia

endometrial cancer

ultrasound

Doppler of endometrial vessels

compression elastography

artificial intelligence

Angiography-based FFR: basic principles, advantages and disadvantages of the technique, development prospects (Literature review)

For quoting:
Kapranov M.S., Kurnosov S.A., Azarov A.V., Yushchenko V.V. "Angiography-based FFR: basic principles, advantages and disadvantages of the technique, development prospects (Literature review) ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 22-28.

authors:

Kapranov M.S.

Kurnosov S.A.

Azarov A.V.

Yushchenko V.V.

keywords:

coronary heart disease

methods for assessing intravascular physiology

angiography-based FFR

artificial intelligence

optimization of PCI

Ultrasound-based radiomics: current state, challenges and future possiblities (Literature review)

For quoting:
Stepanova Yu.A., Babajanova K.A. "Ultrasound-based radiomics: current state, challenges and future possiblities (Literature review) ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 16-21.

authors:

Stepanova Yu.A.

Babajanova K.A.

keywords:

radiomics

texture analysis

artificial intelligence

ultrasound

current state

problems

future possiblities

A revolution in diagnostics: the impact of artificial intelligence on the future medicine (Literature review)

For quoting:
Amonov Sh.E., Ikramov A.A. "A revolution in diagnostics: the impact of artificial intelligence on the future medicine (Literature review) ". Journal Diagnostic & interventional radiology. ; 18(2 Приложение №1); 10-15.

authors:

Amonov Sh.E.

Ikramov A.A.

keywords:

artificial Intelligence (AI)

paranasal sinuses (PNS)

sinusitis

machine learning