Analyzing medical CT scans with GPT 5.4 | Alpha | PandaiTech

Analyzing medical CT scans with GPT 5.4

A demonstration of multimodal capabilities for analyzing and annotating medical scan images.

Learning Timeline
Key Insights

The Necessity of 'Extended Thinking'

For complex tasks like medical image analysis, enabling 'Extended Thinking' allows the AI to perform deeper reasoning before providing an answer, even if it takes a bit longer (2-3 minutes).

AI Accuracy Limitations

While the AI is capable of creating annotations, it may miss some critical areas. Always compare the AI output with expert findings or 'Ground Truth,' as multimodal AI is still in the development phase for diagnostic accuracy.

Python Tool Integration

GPT 5.4 automatically uses Python behind the scenes to draw precise coordinates on the image. This demonstrates a multimodal capability that merges Computer Vision with code execution.
Prompts

Medical Lesion Analysis

Target: GPT 5.4
Analyze this montage of axial CT chest slices. Identify any possible lesions and use the Python tool to circle them on the image for annotation. Provide a downloadable version of the annotated image.
Step by Step

Analyzing and Annotating CT Scan Images

  1. Click the 'Attach' or 'Upload' icon to upload the axial CT chest montage image file into the GPT interface.
  2. Navigate to the model settings and ensure the 'Extended Thinking' feature is enabled (Toggle ON).
  3. Enter the instruction prompt to analyze the lesions and click the 'Run' button or 'Send' icon.
  4. Allow the AI to process the image; you can monitor the duration of the 'Thinking Process' while it's running.
  5. Click on the 'Thinking Process' section to view the technical logs of how the AI identifies lesion coordinates using the Python tool.
  6. Wait until the AI finishes drawing the annotation circles on the original image.
  7. Click on the displayed final image to view the full details.
  8. Click the 'Download' button to save the annotated image to your device.

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