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Qureight

Imaging biomarkers for lung and heart clinical trials, from a Cambridge deep-learning lab.

4.1 Healthcare AI
4.1 Very good 4.1
Consistent measurement reduces the variability that costs trial power No published pricing; sold to trial sponsors
Reviewed by Challenging Voice Editorial · Updated Aug 2026 How we rate
PricingContact for Pricing
Free planNo
CompanyQureight Ltd
PlatformsWeb
CategoryHealthcare AI
Last reviewedAug 2026
Ask AI about Qureight ChatGPT Claude Perplexity

Overview

Qureight analyses medical imaging for clinical trials: image management, central reads, data curation and quality control, endpoint discovery and trial read-outs. Its named deep-learning biomarkers, Lung8, Air8, Fibr8, Glass8 and Vascul8, cover pulmonary fibrosis, pulmonary hypertension and bronchiectasis.

Imaging endpoints are the bottleneck in respiratory trials. Manual central reads are slow, expensive and variable between readers, and that variability directly costs statistical power, which means more patients, more time and more money for the same answer. A consistent automated measurement reduces the noise the trial has to overcome.

It is a Cambridge company working with biopharmaceutical sponsors, not a product anyone signs up for, so nothing is priced publicly. Imaging biomarkers need regulatory acceptance for each specific context of use, and its focus on lung and cardiac disease is narrow by design.

Key features

  • Deep-learning lung imaging biomarkers Lung8, Air8 and Fibr8
  • Glass8 and Vascul8 for vascular and parenchymal measures
  • Central reads and endpoint discovery for trials
  • Imaging data curation and quality control
  • Built for pulmonary fibrosis, hypertension and bronchiectasis trials

Screenshots & demo

Qureight screenshot 1

Pricing

Qureight uses custom pricing. Contact their team for a quote based on your needs.

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  • Starting priceCustom
  • Free planNo
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Pricing is provided as a guide. Check the official site for the latest plans.

Pros & cons

Pros

  • Consistent measurement reduces the variability that costs trial power
  • Named biomarkers rather than a generic imaging claim
  • Focused deeply on respiratory and cardiac disease

Cons

  • No published pricing; sold to trial sponsors
  • Biomarkers need regulatory acceptance per context of use
  • Narrow therapeutic focus by design

How it compares

ToolRatingFreeFromBest known for
Qureight (this tool)4.1No—Deep-learning lung imaging biomarkers Lung8, Air8 and Fibr8
Rayscape3.7No—148+ pathology detection on chest X-rays
Enlitic3.9No—CXR-AI – deep-learning chest X-ray abnormality detection
Proscia4.3No—FDA-cleared for primary clinical diagnosis in AP-Dx

Alternatives to Qureight

4 tools matched to Qureight on what they do, their category and their price.

Rayscape

3.7

FDA-cleared AI that reads chest X-rays and lung CTs for 148+ pathologies, trained on 42M+ medical images – detects, measures, and tracks pulmonary nodules from 3 to 30mm.

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Enlitic

3.9

Deep-learning chest X-ray analysis (CXR-AI) sped radiologist interpretation over 20% in early trials – the first U.S. imaging AI company approved to commercialize in Japan.

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Frequently asked questions

What is Qureight?
Qureight analyses medical imaging for clinical trials: image management, central reads, data curation and quality control, endpoint discovery and trial read-outs.
Is Qureight free?
Qureight does not offer a free plan.
What are the best Qureight alternatives?
The closest matches in the directory are Rayscape, Enlitic, and Proscia, compared side by side above.

Reviews

4.1 Editorial rating No reviews yet

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