Radiology AI

AI that fits the way you read

Integrated radiology AI for triage, reading support, and autonomous reporting, validated in clinical studies and built into Sectra IDS7. Choose the level of support that fits your practice and switch it on through one contract.

Built into your radiology workflow

Sectra’s radiology AI brings the results from algorithms and data directly into Sectra IDS7, the diagnostic application radiologists already rely on. Working inside a single integrated interface, it supports radiologists throughout the read, without requiring them to leave their existing workflow. It combines proven AI with deep diagnostic imaging expertise, built for you.

Radiology AI integrated into your existing platform

The Sectra Enterprise platform keeps diagnostic imaging and AI in one place. Computing, storage, setup, and support are fully managed, so AI adds no separate infrastructure for your IT department to run.

Select, activate, use

AI applications from the Sectra Amplifier Marketplace are contracted through Sectra Amplifier Services and activated in Sectra IDS7, so radiologists work with them inside the diagnostic application from day one.

This technology allows us to scale the number of scans we can process with the same number of staff, while maintaining the high-quality standards our patients expect.

Willem Grootjans

Assistant Professor and Head of the Imaging Services Group at the department of Radiology, Leiden University Medical Centre

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