Quibim is a medical imaging analysis platform that uses AI to extract quantitative biomarkers, support diagnosis, and manage radiology workflows across clinical and research settings.
Quibim is an AI-powered medical imaging platform designed to extract quantitative biomarkers from radiology scans and support data-driven clinical decisions. It integrates with existing PACS and hospital systems to process MRI, CT, PET, and other imaging modalities, transforming raw images into standardized, reproducible metrics. The platform offers a suite of disease-specific imaging biomarkers and analysis pipelines for oncology, neurology, musculoskeletal, and other clinical domains, enabling objective assessment of disease presence, progression, and treatment response.
Key capabilities include automated organ and lesion segmentation, radiomics feature extraction, longitudinal image comparison, and structured reporting. Quibim provides tools for cohort selection, image quality control, and harmonization across scanners and sites, which is particularly valuable for multicenter clinical trials and research studies. Its cloud-based architecture supports scalable processing of large imaging datasets while maintaining compliance with healthcare data protection standards.
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