VitalView AI vs Qure.ai (qER) for Emergency CT
An honest comparison of VitalView AI and Qure.ai's qER for emergency head CT - triage flags vs draft reports, who consumes the output, deployment, and pricing.
Full disclosure first: this page is written by VitalView AI, so read it as a vendor's comparison and check every claim against the sources linked at the bottom. Qure.ai is the most established AI radiology company in India and qER is a genuinely strong product. The two systems solve different problems, and for some hospitals the right answer is Qure.ai, or both.
What is Qure.ai's qER?
qER is a computer-aided triage and notification system for non-contrast head CT. It analyses each scan for critical findings including intracranial haemorrhage, mass effect, midline shift, cranial fracture, and hypodensities suggesting infarct, then prioritises the most critical scans on the radiology worklist so a radiologist reviews them first.
Its credentials are the strongest in the category. Qure.ai was the first Indian company to receive US FDA clearance for a medical imaging AI product, qER also holds CE Class IIb certification, and its deep learning validation was published in The Lancet using a 300,000-scan dataset from 20 Indian centres, reporting an AUC of 0.92 for intracranial haemorrhage detection. It runs in large deployments: Aarthi Scans uses it across its teleradiology network, and Medtronic partners with Qure.ai on AI stroke care networks such as the Zydus Hospitals programme in Gujarat.
What is VitalView AI?
VitalView AI is an emergency CT first-read platform. Instead of flagging and re-ordering a radiologist's worklist, it drafts the read itself: structured report text, findings, and the key images supporting each finding, delivered inside the hospital's existing PACS workflow in under 2 minutes. The hospital's own doctor reviews, edits, and signs. VitalView AI produces preliminary drafts for qualified clinicians only; it is not a standalone diagnostic device, and the signing clinician remains responsible for the final report.
The core difference: who the output is for
This is the honest heart of the comparison.
qER answers the question: "Which scan should the radiologist look at first?" It assumes a radiologist is available and makes that radiologist dramatically more effective at scale. That is the right tool for imaging networks, teleradiology providers, and hospitals with radiology departments handling high volume.
VitalView AI answers the question: "What does the treating doctor do right now?" It assumes the bottleneck is that no radiologist is available in the next hour, which is the 2 AM reality in most Indian district and Tier 2/3 hospitals. The emergency physician gets a structured draft immediately and signs it with their own judgement.
Side-by-side comparison
| Factor | VitalView AI | Qure.ai qER |
|---|---|---|
| Output | Draft report text, findings, key images | Triage flag and worklist prioritisation |
| Primary user | Treating clinician / emergency physician | Radiologist |
| Scope | Emergency CT first reads | Non-contrast head CT findings |
| Turnaround | Under 2 minutes to a draft | Minutes to a worklist flag |
| Regulatory | Preliminary drafts under clinician sign-off; not a standalone diagnostic device | US FDA 510(k) cleared, CE Class IIb |
| Published validation | Deployment case data (see clinical evidence on our home page) | The Lancet, 300k-scan validation, AUC 0.92 for ICH |
| Deployment | Existing PACS/DICOM, no new viewer | PACS/worklist integration |
| Pricing | Published: per scan, from Rs 233 at high volume on an annual plan | Not publicly available; quoted per engagement |
As of July 2026. Corrections welcome at we@vitalview.ai.
Where Qure.ai is the better choice
- You have radiologists and the problem is volume. qER makes an existing radiology workflow faster and safer at scale. That is its design point and it is proven at it.
- You need cleared-device credentials. For procurement that requires FDA or CE clearance on the AI itself, qER has them and VitalView AI does not make those claims.
- Head CT triage across a distributed network. The Medtronic stroke-network deployments show exactly this pattern working.
Where VitalView AI is the better fit
- No radiologist at night. A worklist flag helps nobody if there is no radiologist watching the worklist. A draft report in front of the treating doctor does.
- You want the read, not just the alert. The output is a report a clinician can edit and sign, with the supporting images attached, not a notification that a report is needed.
- Per-scan economics you can price before a call. Our pricing is published and calculable on the home page.
Can a hospital use both?
Yes, without conflict. qER-style triage strengthens the radiology department's queue; VitalView AI covers the emergency pathway where minutes matter and no radiologist is in the loop yet. They intersect only if you expect one tool to do both jobs.
Related: AI first read vs teleradiology ยท Teleradiology alternatives in India
Sources: qER product page, Qure.ai FDA clearance announcement, qER global validation story, qER on Health AI Register.