Radiology Residents: Medical Image Evaluation for AI Benchmarks

What We're Researching

We're running a paid project on clinical image interpretation to build robust performance benchmarks. This work directly supports the development of more accurate diagnostic evaluation tools by establishing reliable scoring rubrics. Your clinical expertise will ensure the reference standards reflect realistic medical assessments.

How It Works

During this remote project, you will review a series of de-identified medical images and clinical cases on your desktop. You will be asked to provide your expert read on each case using a structured scoring rubric. The workflow involves examining the provided imaging data and recording your diagnostic evaluations asynchronously. Your detailed assessments will serve as the reference evaluations for our ongoing benchmarking efforts.

Who This Is For

We are looking for current radiology residents who have hands-on experience interpreting diagnostic imaging. We welcome residents across all training years and sub-specialty rotations, including diagnostic radiology, interventional radiology, and neuroradiology tracks. Candidates must be comfortable applying structured evaluation frameworks to diverse clinical presentations.

Responsibilities

• Review and analyze de-identified medical images
• Provide expert diagnostic reads for complex clinical cases
• Complete structured scoring rubrics for each evaluation
• Establish reference evaluations for diagnostic benchmarks

Requirements

• Currently enrolled in a radiology residency program
• Active clinical experience interpreting medical imaging
• Comfortable working with structured diagnostic scoring systems
• Capable of performing independent, detail-oriented case reviews