Radiology / Imaging AI Tools

AI radiology triage platform with 35+ CE-marked algorithms across neuro, chest, vascular, abdomen, breast, and bone imaging, integrating directly into PACS/RIS workflows.

AI radiology software for chest CT that detects, quantifies, and tracks lung nodules and disease patterns to support faster, more consistent reporting.

AI radiology copilot for X-rays — BoneView detects fractures and ChestView flags urgent chest findings — both integrated directly into PACS workflows.

CE Class IIb AI mammography platform that assists radiologists in detecting breast cancer earlier and more accurately.

Structured clinical reporting tool for ultrasound, endoscopy, and radiology across DACH hospitals.

Swiss neuroradiology AI that auto-generates structured reports in under 3 minutes and tracks MS lesions automatically.

Swiss AI for breast imaging that provides real-time BI-RADS classification and image quality grading.

Swiss ophthalmology AI with CE-marked modules for retinal disease workflows, clinical trial support, and pharma R&D.

Radiology AI operating system giving imaging centres access to 50+ CE-marked algorithms from 30+ vendors in one platform.

Full-body dermoscopy robot that captures standardised skin images and uses AI to detect skin cancer across the entire body surface.

3D imaging AI that automatically detects malnutrition in hospitalised patients at the point of admission.

Flags time-critical findings (ICH, PE, aortic dissection, LVO, C-spine fracture) on CT scans and prioritises them on the radiology worklist.

Detects pulmonary embolism, aortic disease and other vascular emergencies on CT and alerts care teams in real time via a mobile app.

Screens chest X-rays for TB and other abnormalities, and non-contrast head CT for intracranial haemorrhage, to speed up triage.

Analyses chest X-rays for abnormalities and mammography/tomosynthesis images for breast cancer detection.

Flags up to 124 possible findings on chest X-rays within seconds and prioritises urgent cases on the reporting worklist.

Bundles CE-marked AI modules for brain, chest, prostate and radiotherapy imaging into a single platform integrated with hospital PACS.

Provides an AI application marketplace and orchestration layer that plugs chest, cardiac and neuro imaging AI modules into existing PACS/RIS workflows.

Quantifies brain MRI volumetry, including MS lesion load and atrophy, against normative databases to support radiological reporting.

AI platform that analyzes prostate MRI to detect and characterize lesions and pre-populate structured radiology reports.

Automatically segments and quantifies MS brain lesions and atrophy on MRI, classifying each lesion as stable, enlarging, or new.

Analyzes emergency X-rays in real time to detect and prioritize fractures, dislocations, and critical chest findings.

Radiology AI suite that pre-reports and prioritises chest X-ray, CT, and MSK X-ray findings, including autonomous reporting of normal chest X-rays.

Suite of AI modules that measure and flag musculoskeletal findings on X-rays and MRIs, including bone age, knee osteoarthritis, hip geometry, and fracture detection.

AI decision-support tool that flags clinically significant prostate cancer on MRI scans to assist radiologists.

AI software that detects and characterizes cancer on imaging, currently covering lung cancer screening and early liver cancer (HCC).