Azmed
Medical imaging analysis for radiology teams with fast, validated AI modules
About
Azmed is a clinical-grade software platform designed to aid radiology professionals by automating the detection and analysis of pathologies in medical imaging. It offers a suite of specialized tools focused on X-ray and CT scan interpretation, including modules for fracture detection, identification of chest abnormalities, osteo-articular measurements, bone age assessment, and lung nodule detection. Each module is tailored to provide actionable results rapidly, supporting radiologists in expediting diagnosis and reducing the incidence of missed findings.
Integrated directly with existing radiology workflows and platforms such as PACS, Azmed is built for high reliability, with validated performance supported by peer-reviewed research and deployments across hospitals worldwide. In clinical settings, it functions as a second read, offering confidence metrics and measurable improvements in turnaround time, sensitivity, and reduction in false negatives.
With regulatory approvals including CE mark and FDA clearance, Azmed targets compliance and security needs, meeting standards such as ISO 13485, MDSAP, SOC 2, GDPR, and HIPAA. The platform provides extensive evidence of its efficacy and is currently in use at thousands of sites in over 55 countries, confirming its maturity and broad applicability for enhancing patient care in radiology departments.
Who is Azmed made for?
Azmed is tailored for radiologists, imaging department heads, and hospital IT managers who require accurate, reliable diagnostic support tools to streamline radiology workflows. It addresses the needs of hospitals, regional clinics, and large-scale medical imaging centers handling high volumes of X-rays and CT scans, where rapid and consistent detection of fractures, chest abnormalities, and other pathologies is critical.
This product is especially relevant for clinical teams seeking to minimize diagnostic errors, improve turnaround times, and ensure regulatory compliance in medical imaging. Institutions aiming to augment clinical decision-making, enhance patient throughput, and integrate AI directly into their PACS or RIS environments will benefit most from Azmed.
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