| # Future backlog |
|
|
| These ideas are intentionally outside the hackathon demo scope. |
|
|
| ## Agentic study router |
|
|
| - Detect anatomy and modality before choosing a model path. |
| - Route chest radiographs to X-Raydar and future body-part-specific classifiers. |
| - Ask the MedGemma localizer for targeted regions after the classifier proposes a |
| finding. |
| - Let the professor request additional model passes only when the request is |
| visible and logged. |
|
|
| ## Medical reference grounding |
|
|
| - Add a curated teaching-source retriever for radiology anatomy, signs, and |
| differentials. |
| - Keep retrieval citations separate from image observations. |
| - Prefer offline or locally cached references for the local-first workflow. |
|
|
| ## Longitudinal teaching mode |
|
|
| - Track repeated misses by concept and view. |
| - Generate spaced quiz cards from completed sessions. |
| - Keep all learner history local unless an explicit sync option is added. |
|
|
| ## Additional models |
|
|
| - Evaluate body-part-specific classifiers before enabling non-chest studies. |
| - Add segmentation models only when their output can be controlled, attributed, |
| hidden, and exported like current region overlays. |
|
|
