ScanXR Pathologies Detection

A software solution for early notification and identification of pathologies and diseases in radiographic images. It includes CriticalScan for marking suspicious critical pathologies as high priority and DensityScan for identifying osteoporosis risk during ordinary X-ray imaging.

An AI-based system that identifies suspicious critical pathologies and diseases in radiographic images and marks them as high priority at the point of care. Enhanced pathology visualization enables fast assessment and improved patient outcomes.

Digital software system for analyzing bone mineral density from radiographic imaging. Supports diagnostic assessment of osteoporosis and bone health.

Computational software for automated analysis of digital pathology images including feature detection and quantification. Supports diagnostic assessment and research applications in pathology.

AI-powered diagnostic support software that analyzes chest X-rays to assist in osteoporosis detection and diagnosis. Leverages artificial intelligence to identify bone density indicators and support clinical decision-making in osteoporosis screening and assessment.

Digital imaging and analysis systems for anatomical pathology laboratories enabling whole-slide imaging and remote diagnostic review. The platform enhances laboratory efficiency and diagnostic throughput for cancer detection.

Comprehensive software platform for automated detection and analysis of pathology in medical images across multiple imaging modalities. Assists radiologists and clinicians in diagnostic interpretation and lesion identification.

Artificial intelligence-powered diagnostic software for digital radiology image analysis. Provides automated detection and classification support for radiographic findings. Designed to improve diagnostic accuracy and efficiency in radiology workflows.

An AI-based decision support system for medical professionals that detects 8 key abnormality conditions from chest X-ray images. The technology delivers healthcare-grade intelligence reports seamlessly integrated into HIS or PACs systems. It offers high performance and sensitivity while reducing radiology workload up to 40% and improving workflow efficiency.

An AI-powered software solution that analyzes chest X-rays to support osteoporosis diagnosis. The system automatically evaluates X-ray images upon acquisition and generates reports for both clinicians and patients, with clinician reports providing product overviews and diagnostic considerations, while patient reports include disease insights and bone health care guidance. It seamlessly integrates with PACS systems to display automated AI results instantly and recommends bone mineral density (BMD) tests based on analysis to support treatment planning. The software has demonstrated high diagnostic accuracy with an AUC of 0.91, sensitivity of 84.31%, and specificity of 81.4% based on internal testing.

Plus.CXR is a software as a medical device (SaMD) that uses deep learning algorithms to aid radiologists in detecting and characterizing lung nodules on thoracic CT scans. The system provides automated analysis to support diagnostic interpretation and improve clinical decision-making in pulmonary imaging.

AI-powered analysis system for CT and X-ray imaging that uses deep learning algorithms to assist physicians in detecting and diagnosing diseases across multiple anatomical regions including lungs, cardiovascular, breast, and skeletal systems. The system provides automated image analysis and diagnostic support to enhance clinical decision-making and treatment planning.