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Record W2899537006 · doi:10.1002/ase.1844

Optical Versus Virtual Microscope for Medical Education: A Systematic Review

2018· review· en· W2899537006 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAnatomical Sciences Education · 2018
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsRoyal Jubilee HospitalUniversity of Northern British Columbia
Fundersnot available
KeywordsVirtual microscopyMedical educationModality (human–computer interaction)CurriculumCertificationTelepathologyZoomMedical physicsMedicineThe InternetMultimediaComputer sciencePsychologyPathologyTelemedicineWorld Wide WebArtificial intelligencePedagogyEngineering

Abstract

fetched live from OpenAlex

Many technological innovations have changed the traditional practice of medical education and clinical practice. Whole slide imaging (WSI) technology provided an unique way of viewing conventional glass slides in histology and pathology laboratories. The WSI technology digitalized glass slide images and made them readily accessible via the Internet using tablets or computers. Users utilized the pan-and-zoom function to view digital images of slides, also referred to as the virtual microscope (VM), simulating use of an optical microscope (OM). Several articles have reported various outcomes on the utility of VM in teaching laboratories. Recently, the Royal College of Physicians and Surgeons of Canada certification examinations for anatomical pathologists ha completely adopted VM for the national licensing examination. To better inform medical educators, there is an urgent need for more structured reviews to draw evidence-based conclusions on the effectiveness of VM and learner's perceptions, in comparison to OM. The current study provides a descriptive summary of published outcomes using the systematic review approach. In conclusion, medical students' performance was improved with adoption of VM into the curriculum and recognized as a preferred learning modality, compared to OM. On the contrary, resident learners' performance was comparable between using OM and VM, with OM being the favored slide-viewing modality.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.027
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.027
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.044
GPT teacher head0.467
Teacher spread0.423 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it