Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation

arXiv:2608.23836 · cs.CV, cs.AI, cs.LG · Submitted 2026-08-24 · Read on arXiv

cs.CV, cs.AI, cs.LG

Submitted: 2026-08-24

Updated: 2026-08-24

Code: https://github.com/leiluk1/GazeToSkill

Terminology

• AUC — 16× in this paper · explained in 2 episodes
• Transformer — 14× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Late Fusion — 1× in this paper · explained in 2 episodes
• Maximum Intensity Projection — 1× in this paper
• Representation Learning — 1× in this paper · explained in 2 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• Standard Plane — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Vision Transformer (ViT) — 1× in this paper · explained in 2 episodes

Sources

• Med3D: Transfer Learning for 3D Medical Image Analysis
• DINOv2: Learning Robust Visual Features without Supervision

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