Medical AI Training & Clinical Data Annotation, St. Edmunds Eye Hospital
Diagnosis
Led clinical data annotation and labeling for ocular disease diagnosis as part of medical AI model training. Interpreted and analyzed retinal images and clinical data to provide ground truth labels for AI system evaluation. Assessed and validated diagnostic accuracy in medical datasets to improve model reliability. • Reviewed and labeled OCT and fundus images for disease patterns
• Evaluated AI responses for medical safety and accuracy
• Assisted with clinical decision validation and error identification
• Maintained high-quality structured data documentation
Led clinical data annotation and labeling for ocular disease diagnosis as part of medical AI model training. Interpreted and analyzed retinal images and clinical data to provide ground truth labels for AI system evaluation. Assessed and validated diagnostic accuracy in medical datasets to improve model reliability. • Reviewed and labeled OCT and fundus images for disease patterns • Evaluated AI responses for medical safety and accuracy • Assisted with clinical decision validation and error identification • Maintained high-quality structured data documentation
2025 - Present