Looking at the right spot quickly, not years on the job, predicted accuracy in cell screening

Study title: Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytology

Researchers eye-tracked 100 cytotechnologists diagnosing 30 digital cytology images and then tracked 28 students before and after a 3-month training program. They found years of experience did not predict accuracy, while shorter fixation on the low-power field main object did, and students markedly improved time to first target fixation and reduced background attention after training.

Read the study abstract

Background Traditionally, cytology expertise has been equated with professional experience. However, the transition to whole-slide imaging and artificial intelligence (AI) necessitates a shift from exhaustive screening to rapid verification. The goal of this study was to identify cognitive biomarkers associated with diagnostic accuracy and evaluate their modifiability. Methods In phase 1, 100 cytotechnologists with 1-40 years of experience diagnosed 30 digital cytology images using eye-tracking. Gaze metrics acr…

By the Truvace deskAugust 1, 20261 min read1 sourceEvidence: Moderate · 68/100 — Controlled or validated comparison · n = 100 · 1 independent sourcePeer-reviewedTRV-2026-0619· cite & verify

Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytology — Hospital Doctor Negrín by User:Alavisan. Public domain

In brief

The findings matter because digital cytology and AI are moving the role from exhaustive screening to rapid verification, requiring new objective measures of competence beyond seniority. Uncertainty remains about how these gaze biomarkers generalize to real-world whole-slide workloads, diverse case mixes, and actual AI-assisted practice, which the study did not directly test.

Main points

100 cytotechnologists with 1-40 years experience diagnosed 30 digital cytology images with eye-tracking; years of experience did not correlate with accuracy.
Multivariate analysis found shorter total fixation duration on the LPF main object was the sole independent predictor of high accuracy, suggesting pop-out detection.
28 students after 3-month training showed large reductions in time to first target fixation and reduced attention to normal backgrounds, indicating acquisition of expert-like selective attention.

The gain

Gaze-based measures such as shorter fixation predicted cytology accuracy, and a 3-month training program improved students' target detection.

The rundown

Phase 1 used nominal logistic regression on gaze metrics across areas of interest for 100 cytotechnologists; experience correlated only with attention to sample information, not accuracy. Phase 2 used Wilcoxon signed-rank tests to compare pre- and post-training metrics in 28 students.

Authors propose quantifying LPF efficiency as an objective, modifiable cognitive biomarker for evaluating skill development and readiness for AI-assisted verification workflows, shifting emphasis from exhaustive screening to rapid verification.