Teaching Medical Pathology in the Twenty-First Century: Virtual Microscopy Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Virtual microscopy (VM) has been implemented and evaluated in the histology and general and systemic pathology courses at the University of Iowa Carver College of Medicine. Advantages of VM over traditional microscopy include accessibility and efficiency of learning and the ability to integrate VM with computer-assisted interactive learning. Advantages of using VM as opposed to digital photomicrographs include the ability to pan and zoom, explore the slide, and make independent observations. Although VM is used in a case-based format for teaching histopathology to medical students at the University of Iowa, VM may also be effectively implemented in other medical-student teaching models, including integrated and problem-based learning curricula and the classical pathology laboratory. Additional Iowa venues and courses using VM teaching include pathology of human disease for bioscience graduate students, cytology education, a comparative pathology research resource, and histology and histopathology for veterinary medicine. This article reviews the history and evolution of VM in medical pathology and its implementation at Iowa.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it