Medical Imaging & Radiology in Imaging & Radiology

This evidence set isolates Medical Imaging & Radiology 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 Medical Imaging & Radiology implementations in Imaging & Radiology

M

Mass General Brigham / Brigham and Women's Hospital

Mass General Brigham cuts chest X-ray reading time 42% with generative AI preliminary reports

Imaging & RadiologyMedical Imaging & RadiologyLarge Language Models & Generative AI

Reported result:

42% CXR Reading Time Reduction

Deployment timeframe:

Not reported by source

Technology:

Large Language Models & Generative AI

Vendor:

Not available in record

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

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

A

ARA Health Specialists

ARA Health Specialists achieves 20% reduction in radiology reporting time with Rad AI Reporting

Imaging & RadiologyMedical Imaging & RadiologyNatural Language Processing

Reported result:

20% Reporting Time Reduction (Median)

Deployment timeframe:

Not reported by source

Technology:

Natural Language Processing

Vendor:

Not available in record

Cited source: www.radai.comSource 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

A

Aravind Eye Hospital

Aravind Eye Hospital achieves 79.2% DR diagnostic accuracy with cross-camera AI style adaptation

Imaging & RadiologyMedical Imaging & RadiologyComputer Vision & Medical Imaging

Reported result:

79.2% DR Diagnostic Accuracy (Portable Camera)

Deployment timeframe:

Not reported by source

Technology:

Computer Vision & Medical Imaging

Vendor:

Not available in record

Cited source: bmjophth.bmj.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

F

FIDI (Fundação Instituto de Pesquisa e Estudo de Diagnóstico por Imagem)

FIDI deploys Oxipit AI through CARPL for 24/7 chest X-ray decision support in emergency departments

Imaging & RadiologyMedical Imaging & RadiologyComputer Vision & Medical Imaging

Reported result:

4,500+ Pre-deployment Validation Studies

Deployment timeframe:

Not reported by source

Technology:

Computer Vision & Medical Imaging

Vendor:

Not available in record

Cited source: oxipit.aiSource 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

I

Indiana University

Indiana University radiologists detect 65% more cancers with iCAD ProFound AI for digital breast tomosynthesis

Imaging & RadiologyMedical Imaging & RadiologyComputer Vision & Medical Imaging

Reported result:

65% more cancers detected Cancer Detection Rate Improvement

Deployment timeframe:

Not reported by source

Technology:

Computer Vision & Medical Imaging

Vendor:

Not available in record

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

Š

Šeškinės Poliklinika

Šeškinės Poliklinika automates 80% of occupational chest X-ray reporting with Oxipit AI

Imaging & RadiologyMedical Imaging & RadiologyComputer Vision & Medical Imaging

Reported result:

80% of occupational CXR cases Autonomous Reporting Rate

Deployment timeframe:

Not reported by source

Technology:

Computer Vision & Medical Imaging

Vendor:

Not available in record

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

U

University of Chicago

University of Chicago reduces CT pulmonary embolism report turnaround time by 32% during work hours with Aidoc AI triage

Imaging & RadiologyMedical Imaging & RadiologyComputer Vision & Medical Imaging

Reported result:

32.2% Turnaround Time Reduction (Work Hours)

Deployment timeframe:

Not reported by source

Technology:

Computer Vision & Medical Imaging

Vendor:

Not available in record

Cited source: radiologybusiness.comSource 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