AI Computer-Aided Diagnosis in Imaging & Radiology Medicine
6 Computer-Aided Diagnosis applications in Imaging & Radiology medicine. Case studies, results, and vendor analysis.
6
Case Studies
1
Vendors
Case Studies
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
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
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
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
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
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
AI Roadmap — Two hours charting for every hour with patients. Prior auth eating your back office. Both fixable, in the right order. 12 pages, 72 hours.