Dermatologists: Evaluation of AI Diagnostic Outputs

What We're Researching

We're running a paid study on the accuracy and clinical utility of AI diagnostic tools in dermatology. This research helps us understand how automated image assessments compare to standard reference benchmarks in real clinical scenarios. Your clinical expertise will directly inform the evaluation and validation of these diagnostic models.

How It Works

You will review a series of de-identified clinical records alongside high-resolution dermatological images. During the remote session, you will examine the AI-generated diagnostic outputs provided for each specific case. We will ask you to compare these automated outputs against established reference standards and provide your professional clinical assessment. The format involves a guided desktop review where you will record structured feedback on the accuracy and relevance of the findings.

Who This Is For

We are looking for practicing dermatologists or clinical professionals with deep expertise in dermatological diagnostics. We welcome board-certified dermatologists, dermatology residents, and clinical specialists who routinely diagnose skin conditions in practice. Candidates should be highly comfortable evaluating clinical imagery and applying standard diagnostic criteria.

Responsibilities

• Review de-identified clinical records and dermatological images
• Evaluate AI-generated diagnostic outputs for clinical accuracy
• Compare automated findings against standard dermatological reference benchmarks
• Provide detailed clinical assessments on the reliability of the generated diagnoses

Requirements

• Practicing dermatologist or clinical specialist in dermatology
• Extensive experience diagnosing conditions from dermatological imagery
• Familiarity with clinical reference standards for skin conditions
• Comfortable completing detailed diagnostic reviews on a desktop platform