Іздеу

Assessment of ovarian follicular reserve according to ultrasound data based on machine learning methods

Laputin F., Sidorov I., Moshkin A.

(Rus)

Development of a prognostic model for diagnosis of prostate cancer based on radiomics of biparametric magnetic resonance imaging apparent diffusion coefficient maps and stacking of machine learning algorithms

Kuznetsov A.

(Rus)

Learning radiologists’ annotation styles with multi-annotator labeling for improved neural network performance

Nikitin E.

(Rus)

Том 6, № 1 (2025)

Radiomics in application to diseases of the musculoskeletal system: a review

Pleshkov M., Zamyshevskaya M., Kuchinskii E., Jin X., Zhang J., Zavadovskaya V., Zorkaltsev M., Kim T., Pogonchenkova D., Udodov V., Tolmachev I.

(Rus)

Artificial intelligence in ultrasound of thyroid nodules, prognosis of I-131 uptake

Manaev A., Trukhin A., Zakharova S., Sheremeta M., Troshina E.

(Rus)

Machine-learning technology for predicting intraocular lens power: Diagnostic data generalization

Arzamastsev A., Fabrikantov O., Zenkova N., Belikov S.

(Rus)

(Eng)

(简体中)

Digital diagnostics: A computer application for lymph node metastases in cervical cancer

Kuznetsov A.

(Rus)

Том 5, № 3 (2024)

Machine learning techniques for breast cancer diagnosis

Dyomin K., Germashev I.

(Rus)

Machine-learning and artificial neural network technologies in the classification of postkeratotomic corneal deformity

Tsyrenzhapova E., Rozanova O., Iureva T., Ivanov A., Rozanov I.

(Rus)

(Eng)

(简体中)

The concept of responsible artificial intelligence as the future of artificial intelligence in medicine

Germanov N.

(Rus)

Том 5, № 3 (2024)

Diagnostic accuracy of artificial intelligence for the screening of prostate cancer in biparametric magnetic resonance imaging: a systematic review

Kryuchkova O., Schepkina E., Rubtsova N., Alekseev B., Kuznetsov A., Epifanova S., Zarya E., Talyshinskii A.

(Rus)

Classification of optical coherence tomography images using deep machine-learning methods

Arzamastsev A., Fabrikantov O., Kulagina E., Zenkova N.

(Rus)

(Eng)

(简体中)

Том 3, № 3 (2022)

Evolution of research and development in the field of artificial intelligence technologies for healthcare in the Russian Federation: results of 2021

Gusev A., Vladzymyrskyy A., Sharova D., Arzamasov K., Khramov A.

(Rus)

(简体中)

(Eng)

Use of artificial intelligence in the diagnosis of arterial calcification

Trusov Y., Chupakhina V., Nurkaeva A., Yakovenko N., Ablenina I., Latypova R., Pitke A., Yazovskih A., Ivanov A., Bogatyreva D., Popova U., Yuzlekbaev A.

(Rus)

(Eng)

(简体中)

Том 1, № 1 (2020)

MosMedData: data set of 1110 chest CT scans performed during the COVID-19 epidemic

Morozov S., Andreychenko A., Blokhin I., Gelezhe P., Gonchar A., Nikolaev A., Pavlov N., Chernina V., Gombolevskiy V.

(Rus)

(Eng)

(简体中)

Using neural networks for non-invasive determination of glycated hemoglobin levels, illustrated by the application of an innovative portable glucometer in clinical practice

Poliker E., Koshechkin K., Timokhin A., Klyukina E., Belyakova E., Brovko A., Lalayan A., Ermolaeva A.

(Rus)

Том 4, № 3 (2023)

Dosiomics in the analysis of medical images and prospects for its use in clinical practice

Solodkiy V., Nudnov N., Ivannikov M., Shakhvalieva E., Sotnikov V., Smyslov A.

(Rus)

(Eng)

(简体中)

Predicting atrial fibrillation in comorbid patients with arterial hypertension and chronic obstructive pulmonary disease using laboratory research methods: a machine learning approach

Kazantseva E., Ivannikov A., Tarzimanova A., Podzolkov V.

(Rus)