Everlight Radiology flags 200 monthly incidental PE cases and cuts read times up to 12% with Aidoc AI for NHS Trusts
“Everlight Radiology flags 200 monthly incidental PE cases and cuts read times up to 12% with Aidoc AI for NHS Trusts” documents a Medical Imaging & Radiology deployment in Imaging & Radiology at Everlight Radiology. www.aidoc.com reports monthly ipe cases flagged: 200 cases/month; this directory has not independently verified that result.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
- Source link checked:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: www.aidoc.com
The Challenge
NHS A&E departments faced severe backlogs, with nearly 40% of patients waiting beyond the 4-hour target and a 29% radiologist shortfall projected to reach 40% within five years. Teleradiology providers like Everlight must handle surging imaging volumes while ensuring urgent and incidental findings — such as pulmonary emboli appearing on non-dedicated scans — are not missed in high-pressure reporting environments.
The Solution
Everlight deployed Aidoc AI in 2019 across its NHS Trust partnerships, integrating it directly into radiologist workflows to automatically analyze images, flag suspected anomalies, and triage urgent cases within minutes of image acquisition. The deployment specifically includes Aidoc's incidental pulmonary embolism (iPE) algorithm to surface findings that radiologists focused on other regions might otherwise overlook.
Results
Aidoc's iPE algorithm now flags an average of 200 incidental pulmonary embolism cases per month, enabling faster triage and appropriate patient management. Clinical analysis of the Everlight deployment showed read time reductions of nearly 10% for hemorrhagic stroke cases and nearly 12% for pulmonary embolism cases, improving both reporting turnaround and disease awareness for radiologists.
Key Takeaways
- Deploying AI as a background triage layer in teleradiology workflows enables urgent case prioritization without disrupting the reporting process.
- Incidental finding algorithms provide measurable safety value beyond their primary use case, catching acute conditions on non-dedicated studies.
- Early adoption (2019) allowed Everlight to build operational experience with AI-assisted reporting ahead of NHS-wide capacity pressure.
Explore Related
Vendor
Details
- Industry
- Imaging & Radiology
- Use Case
- Medical Imaging & Radiology
- AI Technology
- Computer-Aided Diagnosis
- Company Size
- MidMarket
- Company
- Everlight Radiology
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
- Source link checked
Cited source
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