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TruaceTracing the truth around AIWednesday, August 5, 2026
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TRV-2026-0619Certified recordPeer-reviewed

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

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…

Health · The Trace — both readings · certified 2026-08-01 · v1 · article view · machine-readable

Current reading — gain

Efficient low-power field target detection, measured as shorter fixation duration and faster time to first target fixation, predicts higher diagnostic accuracy in digital cytology and can be rapidly acquired through standard 3-month training.

Current reading — problem

Inefficient low-power field target detection, reflected in longer fixation duration on the LPF main object, predicts lower diagnostic accuracy, while traditional years of professional experience fails to predict accuracy in digital cytology.

Evidence

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Truvace Impact Record TRV-2026-0619, v1: “Screening efficiency over experience: Rapid target detection in low-power field as a modifiable cognitive biomarker for diagnostic accuracy in digital cytology.” Truvace, 2026-08-01. /record/TRV-2026-0619 (accessed at citation time). sha256 6d5f4964b725fe90…

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