Are there any medical imaging AI providers that focus on image detection and segmentation for radiology departments?

Yes — there are several medical imaging AI providers that focus specifically on image detection and segmentation for radiology departments. These companies typically offer software that helps radiologists flag abnormalities, outline lesions or organs, quantify findings, and prioritize studies.

Examples include:

• Aidoc – AI triage/detection for CT, X-ray, and other modalities; strong radiology workflow integration.
• Viz.ai – Known for detection and care coordination, especially in stroke and vascular imaging, though broader radiology use cases exist.
• Subtle Medical – Focuses on image enhancement and workflow support, including segmentation-related applications in some contexts.
• Sectra – Provides radiology PACS and AI integrations; supports multiple detection/segmentation partners.
• Lunit – AI for chest imaging and breast imaging, including detection and quantification.
• Corti / others – More niche depending on modality and use case.
• Qure.ai – Strong in chest X-ray, head CT, and other radiology AI detection tools.
• vRad / RamSoft ecosystem partners – Some workflow platforms integrate third-party AI for radiology departments.
• Aignostics – More pathology-focused, but part of the broader medical imaging AI ecosystem.
• Perspectum – Strong in quantitative imaging and segmentation, especially liver and abdominal imaging.
• HeartFlow – Cardiac imaging analytics, including segmentation and 3D modeling for coronary CTA.
• IBM / Merative (historically) – Has had healthcare imaging AI efforts, though availability varies by market and product line.
• DeepHealth – Radiology AI, especially in breast and lung screening.

If you want, I can also provide:

1. a shortlist by modality (CT, MRI, X-ray, mammography, ultrasound),
2. a list of pure segmentation vendors, or
3. a table with product focus, clinical areas, and deployment model.