Plus.CXR

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.

AI-powered software for chest radiograph analysis and interpretation assistance. Supports detection of abnormalities in pulmonary and cardiac imaging.

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.

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.

AI-powered software for automated lung nodule detection and classification in CT imaging. Assists clinicians in early lung cancer identification and risk assessment.

Software that identifies suspicious critical pathologies and diseases through intelligent analysis of radiographic images. Includes CriticalScan for marking high-priority diagnostic information and DensityScan for early identification of osteoporosis risk. Available variants: ScanXR™ Pathologies Detection.

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.

Medical imaging software designed for processing and analyzing chest CT images. It provides image reconstruction and analysis tools for clinical diagnostic purposes.

An artificial intelligence-based software tool that identifies suspicious critical pathologies and diseases in radiographic images. Automatically marks high-priority images at the point of care to enable faster patient outcomes.

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.

Machine learning algorithms assisting radiologists in detecting and characterizing pathology in medical images, approved for clinical decision support.

AI-aided diagnostic system designed to assist radiologists in analyzing chest CT scans. Utilizes deep learning algorithms to detect and characterize pulmonary abnormalities, improving diagnostic accuracy and workflow efficiency in clinical imaging departments.