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December 6, 2024
Foundation models in radiology: what, how, when, why and why not
Foundational models for radiology are gaining significant traction. Companies like Harrison (Annalise) and Aidoc have recently introduced the first versions of their foundational AI models for...
December 6, 2024
Assessing real-world AI implementation for chest X-ray classification in high-volume screening environments
A retrospective study conducted in the United Arab Emirates evaluated the post-deployment performance of qXR (Qure.ai) for classifying chest X-rays (CXRs) as normal or abnormal in a high-volume visa...
+2 more
December 6, 2024
Updates to Health AI Register November 2024
Nicolab has achieved compliance with both the EU Medical Device Regulation (EU MDR) and the UK Medical Device Regulation (UK MDR) for its StrokeViewer application.Aidoc adds the Brainscan CT...
+20 more
December 5, 2024
Reliability and accuracy of three AI products for bone age estimation compared to human experts
A retrospective study from Germany evaluated the performance of three AI products: BoneXpert (Visiana), IB Lab PANDA (ImageBiopsy Lab), and BoneView (Gleamer) for determining bone age (BA) using...
+5 more
December 5, 2024
AI achieves high accuracy in intracranial hemorrhage detection, but radiologist oversight remains crucial
Company: Qure.ai Product: qERA retrospective audit of an artificial intelligence software for the detection of intracranial haemorrhage used by a teleradiology company in the United KingdomBJR|Open,...
+2 more
December 5, 2024
Real-world evaluation of AI's role in pneumothorax diagnosis and workflow optimization
Company: GE Healthcare Product: Critical Care SuiteReal-world performance of pneumothorax-detecting artificial intelligence algorithm and its impact on radiologist reporting timesAcademic Radiology,...
+2 more
December 5, 2024
Frequent AI use associated with an increased risk of radiologist burnout
In this cross-sectional study of radiologist burnout, frequent AI use was associated with an increased risk of radiologist burnout, particularly among those with high workload or lower AI acceptance....
+1 more
October 29, 2024
Exploring the practicality of AI for incidental pulmonary embolism detection in routine oncology practice
Company: Avicenna.AI Product: CINA-iPEContribution of an artificial intelligence tool in the detection of incidental pulmonary embolism on oncology assessment scansLife, 2024AbstractIntroductionThe...
+2 more
October 29, 2024
AI shows potential for enhancing accuracy and reducing costs in after-hours emergency department fracture detection
Company: Radiobotics Product: RBfractureDeploying artificial intelligence in the detection of adult appendicular and pelvic fractures in the Singapore emergency department after hours: efficacy, cost...
+3 more
October 29, 2024
Intracranial aneurysm detection in TOF-MRA: AI support may improve detection outcomes and reduce reading times
Company: mediaire Product: mdbrainArtificial intelligence can help detecting incidental intracranial aneurysm on routine brain MRI using TOF MRA data sets and improve the time required for analysis...
+2 more
October 29, 2024
Reliability of AI-powered brain segmentation across varying MRI field strengths
Company: Neurophet Product: Neurophet AQUAEvaluating brain volume segmentation accuracy and reliability of FreeSurfer and Neurophet AQUA at variations in MRI magnetic field strengthsScientific...
+3 more
October 29, 2024
Clinical utility of fully automated prostate MRI AI: comparison with PI-RADS v2.1 standards
Company: mediaire Product: mdprostateAssessment of a fully-automated diagnostic AI software in prostate MRI: clinical evaluation and histopathological correlationEuropean Journal of Radiology,...
+2 more