EyeAssist: how clinical context modulates expert gaze in volumetric reading and prognostic decision-making

Bin Wang and Ulas Bagci

MIPS XXI 2026 (Medical Image Perception Symposium)2026

Abstract

An abstract is not available in the lab archive.

Cite this work

Bin Wang and Ulas Bagci (2026). EyeAssist: how clinical context modulates expert gaze in volumetric reading and prognostic decision-making. MIPS XXI 2026 (Medical Image Perception Symposium)

BibTeX

Abstract

Cite this work

Related publications

Validating synthetically generated medical scans through human perceptual assessment & eye-tracking

GazeVaLM: a multi-observer eye-tracking benchmark for evaluating clinical realism in AI-generated x-rays

NeoGaze: whose gaze counts? expertise, clinical information, and attention in neonatal radiology

Matched outcomes, divergent gaze: how foveated MLLMs search compared to humans

GazeRefine: expert gaze as a test-time prompt for training-free medical image segmentation