Mentis AI
Healthcare
InterventionalRadiologistsrequiredforAIProject(CTScans)
Neural analysis suggests this role is
optimal for Senior candidates.
“Interventional Radiologists required for AI Project (CT Scans) at Mentis AI. Skills: Interventional Radiology, CT imaging, AI review. Review pre-annotated segmentations. Assess segmentations for accuracy”
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
Board certification in Interventional Radiology, Minimum 5 years clinical experience, Proficiency in interpreting hepatic CT imaging, Excellent analytical skills, High attention to anatomical detail, High attention to clinical accuracy
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Review pre-annotated segmentations
Assess segmentations for accuracy
Approve segmentations
Correct segmentations
Rate segmentation difficulty
How You'll Work.
Team & Collaboration
Collaborate with AI researchers; Partner with researchers; Partner with clinicians
Full Job Description
Mentis AI is recruiting U.S based, board-certified Interventional Radiologists to participate in an AI review project focused on liver tumor and ablation zone segmentation in CT imaging. This is a opportunity for experienced interventional radiologists to play a direct role in shaping how AI identifies, delineates, and interprets liver tumors and ablation zones with real implications for how these systems will perform in clinical practice. As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine pre-annotated CT segmentations used to train and validate AI systems operating in oncologic and interventional radiology settings. Your clinical expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world interventional reasoning. This role is fully remote, flexible, and well-suited to interventional radiologists balancing existing clinical, academic, or research commitments. ABOUT MENTIS AI At Mentis AI, we help companies build the next generation of clinically grounded artificial intelligence. We work directly with specialist clinicians including radiologists, surgeons, and interventionalists to ensure AI is safe, accurate, and aligned with how medicine is truly practised. As a clinical expert contributor, you'll have hands-on exposure to frontier AI model development in oncologic imaging, partnering with researchers and fellow clinicians to directly influence the future of liver cancer detection, treatment planning, and ablation assessment technology. PROJECT OVERVIEW Interventional radiologists will be given access to a curated liver CT dataset on a dedicated annotation platform and tasked with the following: Segmentation Review: Systematically review pre-annotated liver tumor and ablation zone segmentations across CT cases, assessing each for clinical and anatomical accuracy. Approval & Correction: For each case, either approve the existing segmentation or apply corrections where the annotation doe
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