Co-Founder & CEO
PhD in Artificial Intelligence. Leads the technical vision, AI research, and product development at Abdora.
Co-Founder · CBO
PhD in AI. 15+ years commercializing AI medical imaging internationally. Expertise spans strategic planning to market execution. Leads business strategy and global expansion.
The first signs of cancer are often already there, in images taken for something else. Nobody was asked to look for them, so they go unseen until the disease has grown. And once cancer is found, the surgical team still has to work out whether and how it can be removed.
Abdora was built for both moments. It looks for early signs in the background and flags them for the radiologist, then maps the organs and vessels the surgical team needs to plan. Every result carries its evidence, localized, measured, and described in plain language, and the clinician makes the call.
What Abdora does
Every finding comes with its evidence: where it is, what it measures and how it relates to the surrounding anatomy, so the clinician can check it and decide.
Abdora runs inside the environment radiologists and surgical teams already use. No new viewer and no parallel system, so results appear where the work happens.
HIPAA, SOC 2 and GDPR alignment are part of the architecture, and patient data stays in your controlled environment.
Abdora identifies subtle imaging patterns associated with early abdominal cancers, helping clinicians detect potentially missed findings earlier. Abdora systematically analyzes routine abdominal imaging for additional cancer signals and provides transparent, clinically interpretable evidence to support the radiologist’s decision and treatment planning.Beyond the Scan
Focus
Detection · Planning
Beyond the Scan
Deployment model
On-prem / cloud / hybrid
DICOM-native, vendor-neutral
Compliance
HIPAA · SOC 2 · GDPR
Built into the architecture
Bring a recent case and our team will walk you through Abdora live, with the evidence behind every finding.
Request a Demo