Artificial intelligence in medical imaging

Mammography calibration is done
02.07.2020
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Fluorography calibration is done
02.07.2020
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Pathomorphology: a new direction in AI diagnostic imaging
22.06.2020
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Work areas

Mammography

> 95% accuracy *

*These data are based on the control group screening tests that included 400 patients. Groups for screening tests conducting were randomly formed from verified images not used in neural network training. Each image was re-read by radiologists.

The system detects malignant and benign neoplasms, calcium deposits, lymph nodes, fibrocystic breast changes, dense breast tissue (ACR). It interprets BI-RADS analysis results.

Fluorography

93% accuracy *

*These data are based on the control group screening tests that included 347 patients. Groups for screening tests conducting were randomly formed from verified images not used in neural network training. Each image was re-read by radiologists.

The system analyses photofluorographies to detect the presence or absence of pathologies.

CT scan

The system analyzes lung CT scans and detect signs of coronavirus 2 (SARS-COV-2).

Pathomorphology

Scheduled launch: IV quarter of 2020

Improving the diagnostic process minimasing

Reducing human error

Shortening the time to diagnosis

Standardization of radiological services work in regions

Usage

We use various integration methods for users and customers convenience.

Photoes provided by mosmed.ai

Photoes provided by mosmed.ai

WEB
Application access through a browser.
Desktop
Application is installed on a doctor’s desktop for a more convenient batch processing.
API
Integration with Hospital information system, Radiological Information System and medical image archives.
Integration with hardware manufacturers
System implementation in the operation of digital radiographic equipment and study results display.
Customization
Application refinement according to the customer’s specific tasks.

Implementation

To operate the system there is no need in purchasing any additional equipment or conducting long-term staff training.

11
Pilot launches and trial operation

Kaluga, Tver, Bryansk, Kursk, Nizhny Novgorod, Tambov, Kaliningrad regions, Republic of Dagestan, Kabardino-Balkarian Republic, Moscow, St. Petersburg

21
Research Cooperation Memorandum
It was signed on June 24, 2019 for the development and use of artificial intelligence by medical organizations. Joined

Bryansk region


Kaluga region


Tver region


Tambov region


Kaliningrad region


Belgorod region


Oryol region


Tula region


Saratov region


Kursk region


Lipetsk region


Ryazan region


Ivanovo region


Kirov region


Tomsk region


Nenets autonomous district


Republic of Kalmykia


Republic of Adygea


Republic of Bashkortostan


Republic of Komi


Republic of Dagestan

21 subjects of the Russian Federation
.
Our partners
PACS RIS APK ArchiMed
Professional X-ray Diagnostic Software
Kometa PACS
National Medical and Surgical Center named after N.I. Pirogov