Radiologist — AI Evaluation
Job Description
The integration of AI into radiology promises to revolutionize diagnostics, but its accuracy and reliability must be meticulously validated by human experts. Your unparalleled expertise as a board-certified radiologist will be critical in evaluating AI-generated interpretations, ensuring patient safety and clinical excellence.
Key Responsibilities
Rigorously evaluate AI-generated radiology reports and image interpretations for accuracy, completeness, and clinical relevance across modalities (e.g., X-ray, CT, MRI).
Identify and correct discrepancies between AI findings and your expert diagnosis, providing detailed justifications.
Assess AI's ability to detect subtle pathologies, differentiate between benign and malignant findings, and quantify disease progression.
Provide structured feedback on AI's performance in specific anatomical regions or disease categories (e.g., neuroradiology, musculoskeletal, oncologic).
Contribute to the development of ground truth datasets by annotating medical images and reports.
Collaborate on refining AI algorithms by identifying patterns in errors and suggesting improvements.
Ideal Qualifications
Board-certified Radiologist with an active medical license.
Minimum 5 years of post-fellowship clinical experience in diagnostic radiology.
Deep expertise across multiple imaging modalities (CT, MRI, X-ray, Ultrasound, PET).
Proficiency in using PACS systems and medical image viewers.
Strong analytical skills and meticulous attention to detail in diagnostic interpretation.
Prior experience with AI in medicine or medical image evaluation is a significant advantage.
Project Timeline
Start Date: Immediate
Duration: Ongoing, long-term project
• Commitment: Flexible, 10-20 hours per week
Lead the charge in validating AI for safer, more accurate radiological diagnostics.