RadiologistsrequiredforAIProject(CTScans)

Mentis AI is recruiting U.S based, board-certified 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 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 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   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 does not meet clinical standards. Each reviewed case receives a status of Approved, Corrected, or