Computer-Aided Diagnosis in Imaging & Radiology

This evidence set isolates Computer-Aided Diagnosis deployments within Imaging & Radiology. The records below identify the implementing organization, technology and vendor when reported, source-reported results, cited source, and missing evidence explicitly.

Documented Computer-Aided Diagnosis implementations in Imaging & Radiology

H

Hospital of the University of Pennsylvania

Hospital of the University of Pennsylvania achieves 93.6% sensitivity using DBT AI case score change tracking for breast cancer screening

Imaging & RadiologyMedical Imaging & RadiologyComputer-Aided Diagnosis

Reported result:

93.6% Sensitivity (combined score + change threshold)

Deployment timeframe:

Not reported by source

Technology:

Computer-Aided Diagnosis

Vendor:

Not available in record

Cited source: pubs.rsna.orgSource link checked Jul 28, 2026Automated evidence gate passed

University of Alabama at Birmingham

UAB AI triage system for intracranial hemorrhage detection shows no improvement in radiologist accuracy or turnaround times

Imaging & RadiologyMedical Imaging & RadiologyComputer-Aided Diagnosis

Reported result:

99.5% Radiologist Accuracy Without AI

Deployment timeframe:

Not reported by source

Technology:

Computer-Aided Diagnosis

Vendor:

Aidoc

Cited source: radiologybusiness.comSource link checked Jul 28, 2026Automated evidence gate passed

Everlight Radiology

Everlight Radiology flags 200 monthly incidental PE cases and cuts read times up to 12% with Aidoc AI for NHS Trusts

Imaging & RadiologyMedical Imaging & RadiologyComputer-Aided Diagnosis

Reported result:

200 cases/month Monthly iPE Cases Flagged

Deployment timeframe:

Not reported by source

Technology:

Computer-Aided Diagnosis

Vendor:

Aidoc

Cited source: www.aidoc.comSource link checked Jul 28, 2026Automated evidence gate passed

L

Leiden University Medical Center

LUMC deploys Oxipit CT PE Quality AI for pulmonary embolism detection as second-reader quality assurance

Imaging & RadiologyMedical Imaging & RadiologyComputer-Aided Diagnosis

Reported result:

Not reported by source

Deployment timeframe:

Not reported by source

Technology:

Computer-Aided Diagnosis

Vendor:

Not available in record

Cited source: oxipit.aiSource link checked Jul 28, 2026Automated evidence gate passed

U

University Hospital Birmingham

University Hospital Birmingham reduces chest X-ray workload by 10.5% with Oxipit ChestLink autonomous AI in largest UK retrospective trial

Imaging & RadiologyMedical Imaging & RadiologyComputer-Aided Diagnosis

Reported result:

10.5% of annual chest X-ray volume Workload Reduction

Deployment timeframe:

Not reported by source

Technology:

Computer-Aided Diagnosis

Vendor:

Not available in record

Cited source: oxipit.aiSource link checked Jul 28, 2026Automated evidence gate passed

R

Radboudumc

Radboudumc and Jeroen Bosch Hospital validate AI system capable of reducing radiologist chest X-ray workload by 15%

Imaging & RadiologyMedical Imaging & RadiologyComputer-Aided Diagnosis

Reported result:

0.918 AUC for Normal CXR Detection

Deployment timeframe:

Not reported by source

Technology:

Computer-Aided Diagnosis

Vendor:

Not available in record

Cited source: www.radboudumc.nlSource link checked Jul 28, 2026Automated evidence gate passed