Plus.Lung.Nodule

Ultrasound-based diagnostic software for thyroid nodule assessment and screening. Utilizes AI technology to improve diagnostic confidence in thyroid pathology detection.

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

AI-assisted ultrasound software for thyroid nodule assessment and characterization. Helps clinicians reduce indeterminate nodule cases and improve diagnostic accuracy in thyroid imaging workflows. Integrates with standard ultrasound systems to enhance early detection capabilities.

V5med Lung AI is an artificial intelligence software system for automated analysis of pulmonary medical imaging. The platform leverages deep learning algorithms and image processing technology to assist clinicians in detecting and characterizing lung pathologies from CT and radiographic studies. Integration with clinical workflows enables rapid diagnostic decision support for pulmonary disease screening and management.

AI-powered software platform that processes pulmonary imaging data using image processing, pattern recognition, and machine learning algorithms. The system assists clinicians in interpreting medical images with enhanced accuracy and provides comprehensive analysis to identify potential pathologies and anatomical variations.

An artificial intelligence system for lung cancer screening that has received U.S. FDA 510(k) clearance. The system assists in the detection of nodules from chest CT images to support early cancer detection and improve treatment outcomes.

AI-powered diagnostic platform utilizing deep learning and convolutional neural networks to assist clinicians in detecting and analyzing diseases across multiple organ systems including lungs, cardiovascular, breast, and skeletal structures. Integrates medical imaging analysis with clinical workflow support for disease screening, diagnosis, and treatment planning across oncology, infectious disease, and cardiovascular applications.

AI-powered breast ultrasound image management and analysis software utilizing deep learning algorithms for rapid breast cancer screening and tumor characterization. The system assists clinicians in detecting and differentiating benign and malignant lesions with enhanced diagnostic accuracy and workflow efficiency.

AI-powered medical imaging analysis platform using deep learning to assist clinicians in detecting and diagnosing diseases across multiple anatomical regions including lungs, cardiovascular, breast, and skeletal systems. InferRead provides automated image interpretation and clinical decision support; InferOperate delivers surgical planning and real-time navigation guidance. FDA, CE, and NMPA cleared for clinical use across 30+ countries.

AI-powered software for thyroid ultrasound image analysis and management. Uses deep learning algorithms to automatically detect and classify thyroid nodules and cysts, providing risk stratification to support clinical diagnosis and patient management. Integrates image acquisition, analysis, and cloud-based storage for streamlined thyroid health assessment workflows.

An artificial intelligence solution for medical imaging analysis that enables precise algorithmic computation for improved diagnostic accuracy. The system is designed to enhance diagnostic capabilities in healthcare settings through advanced machine learning technology.

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.