Visual Practice Workflow

Choose how you want to practice

Brief digital annotation preserves deliberate visual practice while making it feasible for busy learners. Pick a mode that fits the time you have.

Annotation → pattern recognition

Every annotation session, digital or printable, is followed by the same structured pattern-recognition prompts:

  1. Choose stain / modality (LM, IF, EM, special stain).
  2. Localize the lesion to a compartment (glomerular, vascular, tubulointerstitial, mixed).
  3. Classify as active, chronic, or mixed.
  4. Name the pattern.
  5. Identify the key visual clue that supports the pattern.
  6. Correlate with the clinical scenario.

AI-supported, educator-reviewed feedback

Learner markings are compared to expert reference regions. The platform highlights missed structures, mislabeled compartments, and incorrect pattern recognition, and returns formative feedback.

AI feedback is formative. Formal assessment is reviewed by faculty before it counts toward learner evaluation.

What we measure

  • Time to completion
  • Completion and drop-off rate
  • Digital vs printable preference
  • Structure recognition
  • Compartment localization
  • Pattern accuracy
  • Stain awareness
  • Confidence calibration
  • Uploaded coloring / annotation rubric score

Analytics roll up into the learner dashboard and educator review tools.

Future scalability

This visual learning framework may later be adapted to other histopathology domains such as blood smears, marrow pathology, tumor pathology, or dermatopathology.

Educational use only. AI-generated feedback is formative and must be reviewed by an educator when used for formal learner assessment. Not intended for clinical diagnosis or patient care decisions.