AI Medical Imaging Analyst vs AI Mental Health AI Specialist

A AI Medical Imaging Analyst Only

• Medical image acquisition physics (CT, MRI, X-ray, ultrasound, PET, histopathology staining)
• DICOM standard, PACS architecture, and HL7 FHIR imaging integration
• Deep learning for medical image segmentation (U-Net, nnU-Net, SwinUNETR)
• Medical image classification and object detection (ResNet, EfficientNet, YOLO variants)
• Image preprocessing: windowing, normalization, augmentation, bias field correction
• Data annotation and quality assurance using tools like Label Studio, 3D Slicer, or QuPath
• Model evaluation: AUC-ROC, Dice score, Hausdorff distance, sensitivity/specificity analysis
• Clinical validation study design: IRB protocols, ground-truth adjudication, reader studies