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CureMetrix cmTriage™

cmTriage™ from CureMetrix is the first FDA-cleared software in the U.S. intended to provide a notification triage code to the radiologist’s mammography worklist based on the presence of a suspicious region of interest found by the underlying algorithm.

This workflow optimization tool enables a radiologist to customize their mammography list based on cases that may need immediate attention.

Currently, viewing stations do not allow for intelligent sorting and prioritizing of cases – a radiologist can only sort based on name, date of image acquisition, time of image acquisition, etc. With cmTriage, a radiologist can sort and prioritize cases in their worklist based on the presence of suspicious regions of interest found by the underlying algorithm. This gives the radiologist the opportunity to tackle the more difficult mammograms with a heightened awareness, or perhaps to assign those cases to the specialist best suited to interpret them.

cmTriage can also be used to optimize clinical protocol and maximize a clinic’s utilization of resources.

cmTriage is vendor agnostic for any 2D FFDM screening mammography equipment and takes less than five minutes to process a study, so it seamlessly integrates into a radiologist’s workflow. Additionally, cmTriage is cloud-based so there are no added systems to install or buttons to click. The software is both DICOM and HIPAA compliant and no PHI ever leaves the hospital.


  • Works across all breast densities
  • Works with both mass and calcifications
  • According to the Breast Cancer Surveillance Consortium (BCSC), the average sensitivity of a radiologist is 84.4% and on average they are recalling 9.6% of cases. cmTriage only flags 8.2% of cases at the same sensitivity1
  • At the increased default sensitivity of 93%, cmTriage will still only identify 24% of your worklist as suspicious while also potentially catching 1 to 2 more cancers per 1,000 screening cases

FDA Cleared

cmTriage is FDA cleared as a notification-only, parallel workflow tool used to identify specific patients to a radiologist based on the presence of at least one suspicious finding to support standard of care image interpretation. It is easy to implement clinically and enables a radiologist to prioritize the most suspicious cases and optimize their workflow.



CureMetrix - Early Detection White Paper
Reduction of False-Positive Markings on Mammograms
Improved Cancer Detection Using Artificial Intelligence

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CureMetrix cmAssist®

CureMetrix cmAssist® is an investigational, computer-aided detection (CAD) software that has the potential to quickly detect key regions of interest on a mammogram, and accurately quantify and classify the anomalies as suspicious or verifiably benign.

cmAssist does this by searching all views of a digital 2D-mammogram for abnormal areas of density, mass or calcification and by highlighting any suspicious areas needing further analysis. The software utilizes a unique, data-driven neuScore™ which is a quantitative measure of suspiciousness of a region of interest ranging from 0 (least suspicious) to 100 (highly suspicious). Once validated, cmAssist can as a clinical decision support tool that will enable physicians to:

  • Catch cancers early
  • Reduce their false positives
  • Reduce their recall rate
  • Reduce unnecessary biopsies for both mass and calcifications

cmAssist allows configuration of the operating point for both mass and calcifications that is customizable to each hospital or clinic.

The operating points establish a threshold which determines which regions of interest are displayed to the radiologist based on desired levels of sensitivity and specificity.

cmAssist has been optimized to display very few false positives per image at a high sensitivity resulting in a CAD software that radiologists can trust. The goal is to allow physicians to focus on the most relevant data and discard irrelevant variables to help them converge on answers and arrive at a diagnosis more quickly and accurately.



CureMetrix - Early Detection White Paper
Reduction of False-Positive Markings on Mammograms
Improved Cancer Detection Using Artificial Intelligence

Detects coronary diseases

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ChestEye Queue

ChestEye Queue is a radiological queue management and triage solution, which automatically prioritizes chest X-rays of potentially unhealthy patients inviting urgent specialist attention.


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ChestEye CAD

ChestEye CAD is a fully automatic computer-aided diagnosis (CAD) chest X-ray solution. It localizes radiological findings on a heatmap and produces preliminary reports (image in, report out) for radiologist’s approval.

Chest icon 75 radiological findings supported
Chest icon Multi-language support
Chest icon Average area under curve of 93%
Chest icon Customized reporting
Chest icon Increase productivity by more than 30%
Chest icon Fit for your workflow
Chest icon Reduce error rate and overlooked findings

Example results


Bilateral consolidation. Left pleural effusion.

chest radio

Supported Findings

  1. Linear Atelectasis
  2. Lobar Collapse
  3. Enlarged Heart
  4. Edema
  5. Pleural Effusion
  6. Loculated Effusion
  7. Fissural Thickening
  8. Bullous Emphysema
  9. Pulmonary Emphysema
  10. Subcutaneous Emphysema
  11. Consolidation
  12. Pneumothorax
  13. Tuberculosis
  14. Hypoventilation
  15. Lymphadenopathy
  16. Hypertension
  17. Granuloma
  18. Lymph Node Calcification
  19. Elevated Diaphragm
  20. Dislocated Mediastinum
  21. Widened Mediastinum
  22. Congestion
  23. Fibrosis
  24. Interstitial Markings
  25. Pleural Adhesion
  26. Hilar Prominence
  27. Mass
  28. Cyst
  29. Pulmonary Cavity
  30. Sarcoidosis
  31. Hernia
  32. Removed Lung
  33. Enlarged Aorta
  34. Goitre
  35. Thymus
  36. Aortic Sclerosis
  37. Respiratory Distress Syndrome
  38. Retrosternal Airspace Obliteration
  39. Pleural Thickening
  40. Pneumomediastinum
  41. Pericardial Effusion
  42. Pleural Plaque
  43. Pneumoperitoneum
  44. CV Catheter RA Placement
  45. CV Catheter SVC Placement
  46. HD Catheter RA Placement
  47. HD Catheter SVC Placement
  48. Catheter Malposition
  49. Intubation
  50. Intubation Malposition
  51. Chest Tube
  52. Sternal Wires
  53. Endovascular Stent
  54. Tracheal Stent
  55. Esophageal Stent
  56. Artificial Heart Valve
  57. Intra Aortic Balloon
  58. Ventricular Assist Device
  59. Nasogastric Tube
  60. Pacemaker
  61. Spinal Implant
  62. Azygos Lobe
  63. Gastric Bubble
  64. Bowel Gas
  65. Barium Swallow
  66. Abnormal Rib
  67. Rib Resection
  68. Spinal Compression Fracture
  69. Spinal Degenerative Changes
  70. Spondylosis
  71. Osteoporosis
  72. Kyphosis
  73. Scoliosis
  74. Ligament Ossification
  75. Spinal Enthesopathy


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Research of similar cases

ChestEye Search

ChestEye Search finds X-Ray images with similar radiological appearance in a given database. The similarity is identified by a neural network, which judges both the pathology present as well as other features in the image such as the location of the pathology, its severity etc.

ChestEye Search empowers the user to quickly find retrospective cases with similar radiological appearance. This allows to study the report/final diagnosis/outcome of the patient.

oxipit radio

Triage for trombectomie

CTA automatized

CTP automatized

MR Diffusion

Assistance for clinical decision




Assist for diagnostic of knee arthritis logo


Radiobotics first CE-marked product can:

  • Automatically detect major findings relevant for radiographic osteoarthritis,
  • Provide a text report with findings and conclusion,
  • Visual overlay highlighting what the algorithm has detected

Our clinical validation studies showed excellent agreement with clinical experts.

The algorithms can be integrated directly into your workflow via RIS/PACS, and either be triggered on demand or run immediately after acquisition, meaning a draft report will be ready in the reporting module when the case is opened from the work list.


Overlays and Automatic reporting logo

Image analysis

Based on advanced computer vision and deep learning methods

Secondary capture or overlays are integrated with PACS

Generated report

Fully Automated text report describing findings and impression of knee arthritis from PA and LAT images

Checks 3 clinical findings related to OA:

  • Joint space width
  • Osteophytes
  • Sclerosis

Docker deployment easily Integratable into PACS/RIS


Triage for trombectomie

CTA automatized

CTP automatized

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