Lunit

Analyzes mammography images to detect breast cancer lesions with FDA-cleared algorithms. Provides real-time detection support integrated into radiology workflows with clinically validated sensitivity and specificity metrics superior to radiologist-alone performance.

Analyzes CT chest images to detect lung cancer nodules and suspicious lesions using CE-marked and FDA-cleared algorithms. Provides decision support for pulmonary nodule characterization and risk stratification in lung cancer screening programs.

Provides real-time AI-assisted recommendations during radiologist interpretation to reduce diagnostic fatigue and cognitive burden. Enables faster case turnaround times while maintaining or improving diagnostic accuracy through intelligent flagging and prioritization.

Seamlessly integrates with existing hospital PACS and DICOM imaging systems to enable real-time AI analysis without disrupting established radiology workflows. Provides institutional-grade infrastructure with robust data handling and security compliance.

Provides published clinical validation data and performance metrics comparing AI-assisted diagnosis against radiologist-alone and consensus standards. Enables institutions to measure sensitivity, specificity, and diagnostic variability improvements from AI implementation.

Provides enterprise-grade infrastructure with FDA clearance, CE marking, and full HIPAA/GDPR compliance to meet healthcare regulatory requirements. Ensures patient data security and institutional compliance with healthcare data protection standards.