AI Training · Flexible project
We are conducting a paid study to establish high-quality reference evaluations for medical imaging algorithms. We are looking for practicing radiologists to review de-identified clinical cases and provide expert reads using structured scoring rubrics.
THE OPPORTUNITY
We are conducting a paid study to establish high-quality reference evaluations for medical imaging algorithms. We are looking for practicing radiologists to review de-identified clinical cases and provide expert reads using structured scoring rubrics.
We're running a paid study on the accuracy and reliability of diagnostic imaging algorithms. High-quality reference evaluations are essential for establishing safe and effective medical benchmarks. Your clinical expertise will directly inform the baseline ground truth used to evaluate these emerging tools.
You will review a series of de-identified medical images and associated clinical cases through a secure remote platform. For each case, you will provide an expert read and complete a structured scoring rubric. The workflow involves assessing specific diagnostic criteria and highlighting key anatomical or pathological findings. All tasks are completed asynchronously, allowing you to evaluate the cases at your own pace.
We are looking for licensed and practicing radiologists with strong clinical diagnostic experience. We welcome general radiologists, neuroradiologists, musculoskeletal radiologists, and other imaging subspecialists. Candidates must be comfortable applying standardized rubrics to complex diagnostic cases.
Role details are copied from the Terac listing and can change. Check the platform before you apply.
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