Medical Imaging & Clinical Data Lab

Overview

Healthcare AI has unique requirements: HIPAA compliance, specialized data formats (DICOM for imaging, FHIR for clinical data), domain-specific tools, and regulatory considerations. The Medical Imaging Lab provides all of this in a pre-configured GCP environment. You'll work with de-identified medical imaging datasets — chest X-rays, brain MRIs, liver CT scans — using the MONAI framework purpose-built for medical image analysis. Clinical NLP exercises use MedCAT for extracting medical concepts from doctor's notes. A FHIR-compliant test server lets you practice building integrations with electronic health record systems.

What You'll Do in This Lab

• Load, view, and preprocess DICOM medical images using Cloud Healthcare API
• Train disease detection models on chest X-ray datasets with MONAI
• Build medical image segmentation models (tumor, organ delineation) with U-Net
• Extract medical entities from clinical notes using MedCAT NER
• Query and write to FHIR resources — patients, observations, conditions
• Build explainable AI for clinical models using GradCAM and SHAP

Lab Workflow