Pesquisa

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

Laputin F., Sidorov I., Moshkin A.

(Rus)

Volume 5, Nº 3 (2024)

Machine learning techniques for breast cancer diagnosis

Dyomin K., Germashev I.

(Rus)

Volume 5, Nº 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)

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)

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

Germanov N.

(Rus)

Volume 6, Nº 2 (2025)

Role of artificial intelligence and novel visualization techniques in the early diagnosis of pancreatic cancer: a review

Musaeva F., Sumenova E., Islamgulov A., Kumykova Z., Elipkhanova T., Ushaeva A., Khasieva A., Ozerova E., Khusnutdinova D., Nabiullina A., Kulinskaya Y., Yakupova R., Mustafin A.

(Rus)

Prospects of using computer vision technology to detect urinary stones and liver and kidney neoplasms on computed tomography images of the abdomen and retroperitoneal space

Vasilev Y., Vladzymyrskyy A., Arzamasov K., Shikhmuradov D., Pankratov A., Ulyanov I., Nechaev N.

(Rus)

(Eng)

(简体中)

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

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

(Rus)

Volume 3, Nº 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)

Volume 2, Nº 1 (2021)

Reference medical datasets (MosMedData) for independent external evaluation of algorithms based on artificial intelligence in diagnostics

Pavlov N., Andreychenko A., Vladzymyrskyy A., Revazyan A., Kirpichev Y., Morozov S.

(Rus)

(Eng)

(简体中)

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)

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)

Volume 2, Nº 1 (2021)

Students opinion about E-Learning in a Master course in Interventional Radiology: a survey among participants

Neri E., Crocetti L., Lorenzoni G., Cioni R., Brady A., Caramella D.

(Rus)

(Eng)

(简体中)

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

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

(Rus)

(Eng)

(简体中)

Volume 4, Nº 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)

Volume 1, Nº 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)

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

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

(Rus)

(Eng)

(简体中)

Development of a portable spectrophotometer using artificial neural networks for non-invasive determination of glycated hemoglobin in blood by Raman spectroscopy

Poliker E., Zemskikh B., Koshechkin K.

(Rus)

Classification of the presence of malignant lesions on mammogram using deep learning

Ibragimov A., Senotrusova S., Litvinov A., Beliaeva A., Ushakov E., Markin Y.

(Rus)

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

Nikitin E.

(Rus)

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)