Are there any medical imaging AI sites that focus on detecting anomalies in scans for hospital radiology teams?

Yes — there are several medical imaging AI companies and platforms built specifically to help hospital radiology teams detect anomalies on scans. These tools typically work as decision-support software, triaging studies, flagging urgent findings, or helping quantify suspicious regions in CT, MRI, X-ray, mammography, and sometimes ultrasound.

A few well-known examples:

• Aidoc — AI for radiology triage and anomaly detection across CT, X-ray, and other modalities; often used to flag urgent cases like intracranial hemorrhage, pulmonary embolism, and fractures.
• Viz.ai — focuses on rapid detection/communication of critical findings, especially in stroke and other emergent conditions.
• Qure.ai — AI for chest X-rays, head CTs, and other imaging, with anomaly detection and workflow support.
• Lunit — strong in chest X-ray and mammography AI, helping detect lesions and suspicious findings.
• Annalise.ai — offers broad radiology AI for detecting a range of abnormalities on imaging studies.
• Gleamer — radiology AI with a strong presence in musculoskeletal X-rays and other imaging anomaly detection.
• InferVision — AI products for radiology and clinical decision support, including CT and chest imaging.
• RapidAI — focused on neurovascular and stroke imaging detection/triage.
• Behold.ai — chest X-ray anomaly detection and triage.
• Heartflow — more specialized for cardiac CT analysis rather than broad anomaly detection.

A few things to keep in mind:

• Most of these are clinical workflow tools, not standalone diagnostic replacements.
• Hospitals usually look for regulatory clearance in their region, integration with PACS/RIS/EMR, and evidence of improved turnaround time or sensitivity.
• Availability and approved indications vary by country and modality.

If you want, I can also give you:

1. a shortlist by imaging type (CT, X-ray, MRI, mammography),
2. FDA/CE-approved options, or
3. a comparison table for hospital procurement.