Clinical trial · Observational
Experiment on the Use of Innovative Computer Vision Technologies for Analysis of Medical Images in the Moscow Healthcare System
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
It is planned to integrate various services based on computer vision technologies for analysis of the certain type of x-ray study into Moscow Unified Radiological Information Service (hereinafter referred to as URIS). As a result of using computer vision-based services, it is expected: 1. Reducing the number of false negative and false positive diagnoses; 2. Reducing the time between conducting a study and obtaining a report by the referring physician; 3. Increasing the average number of radiology reports provided by a radiologist per shift.
Conditions
Conditions (9)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Abdomen Disease | — | UNRESOLVED | — |
| AI (Artificial Intelligence) | — | UNRESOLVED | — |
| Brain Disease | — | UNRESOLVED | — |
| Chest--Diseases | — | UNRESOLVED | — |
| COVID-19 | — | UNRESOLVED | — |
| Fractures, Bone | — | UNRESOLVED | — |
| Lung Cancer | Malignant Lung Neoplasm | CURATED_EXACT | 0.92 |
| Mammary Cancer | — | UNRESOLVED | — |
| X-Rays; Lesion | — | UNRESOLVED | — |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (2)
- label
- Standard radiology studies with AI
- description
- The experiment is conducted on 10 types of studies with AI: 1. Chest CT/ LDCT with different pathologies; 2. Abdominal CT with different pathologies; 3. Head CT with different pathologies; 4. MSS XR with different fractures 5. Spine XR with different pathologies; 6. MMG; 7. Brain MRI with different pathologies; 8. Cervical spine MRI, Lumbosacral spine MR and Thoracic spine MRI with spine pathologies 9. Knee joint MRI 10. Lesser pelvis MRI.
- label
- Standard radiology studies without AI
- description
- The experiment is conducted on 10 types of studies without AI: 1. Chest CT/ LDCT with different pathologies; 2. Abdominal CT with different pathologies; 3. Head CT with different pathologies; 4. MSS XR with different fractures 5. Spine XR with different pathologies; 6. MMG; 7. Brain MRI with different pathologies; 8. Cervical spine MRI, Lumbosacral spine MR and Thoracic spine MRI with spine pathologies 9. Knee joint MRI 10. Lesser pelvis MRI.
Primary outcomes (1)
- measure
- Number of errors
- timeFrame
- Upon completion, up to 4 years
- description
- Change of at least 30% in the number of errors in interpretation of the studies with using computer vision-based services compared to the number of errors in interpretation without their application.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Age (over 18 years) * Gender (male and female) * Referral for the study * Signed informed consent to participate in the Experiment * Chest computed tomography and Low-dose computed tomography for lung cancer detection or mammography for breast cancer detection or chest X-ray for lung pathology detection Exclusion Criteria: * Another type of study (including a different modality and anatomical area)
References
Publications (0)
Data not yet available