CT Chest AI

Auto-detecting significant clinical findings with AI

We are developing CT Eye™ to help increase your productivity and amplify your expertise in CT chest workflows to let AI detect, prioritize, and run quality assurance for you.

Autonomous CT chest reading, available soon

How will we help in CT Chest diagnostics?

We are developing CT Eye™ to support radiologists detecting the most clinically significant findings encountered in daily chest CT practice. The result is an increased chance to make the right clinical decision and reduce the burden on the individual physician. The product is being validated to make it ready for release.

Introducing CT Eye

CT Eye™ brings workflow-integrated AI into CT chest imaging. It helps radiologists prioritizing studies, recognizing critical findings faster, and with doing quality check after reporting. Everything in the same diagnostic application as they are used too, Sectra IDS7. Designed for adult CT chest studies, CT Eye™ supports radiologists from the moment a study arrives to the final report.

Supported findings*

  1. Pulmonary Embolism
  2. Lung Lesions
  3. Lung Consolidation

*CT Eye™ has been clinically validated and is in finalizing stage before launch

Adding 9 more CT findings

  1. Abdominal Fat Stranding
  2. Brain Aneurysm
  3. Brain Large Vessel Occlusion
  4. Brain Ischemic Lesion
  5. Extravasation
  6. Intracerebral Hemorrhage
  7. Liver Lesion
  8. Mediastinal Lymphadenopathy
  9. Mesenteric Thrombosis

Latest news

UK pathology provider Diagnexia chooses Sectra to speed up pathology reporting for the NHS

2026-10-12
|
Medical Systems

Sectra signs partner agreement to bring enterprise imaging to Brazil

2026-09-29
|
Medical Systems

Northeast Georgia Medical Center goes live with Sectra One Cloud to support faster, more coordinated patient care

2026-09-24
|
Medical Systems

Meet us next at

14
Oct
2026
to
17
Oct
2026
Nordic Congress of Ophthalmology 2026
Event | Ophthalmology imaging
16
Oct
2026
to
18
Oct
2026
Pathology Visions 2026
Event | Digital pathology | AI in medical imaging
21
Oct
2026
to
23
Oct
2026
Norsk Ortopedisk Forenings Høstmøte 2026
Event | Orthopaedics