معرفی
Yan Chen is a research-focused academic at the University of Cumbria specializing in medical imaging and human factors analysis. Their work examines cognitive load and fatigue in radiology and pathology through eye tracking methodologies, collaborating extensively with NHS breast screening centers and researchers like Peter Phillips on national trials including PROSPECTS. Affiliation is confirmed via the university's institutional repository and ORCID (0000-0003-3107-7898), though specific school or departmental details are not provided in source materials.
Research interests prioritize objective fatigue measurement in medical image interpretation:
- Digital breast tomosynthesis (DBT) reader performance metrics
- Blink duration/frequency as fatigue indicators
- Experience-dependent visual search patterns in pathology
- Algorithm development for eye tracking data processing
- National screening program protocol optimization
- Cognitive load assessment during diagnostic tasks
Article trends reveal a progression from methodological development (2016 dual-screen eye tracking) to clinical validation (2021-2024). Recent work demonstrates breaks reduce DBT reader fatigue without compromising diagnostic accuracy, while digital pathology studies link experience to efficient zooming behavior and higher diagnostic precision. All research leverages eye tracking to address workforce challenges in time-intensive imaging modalities.
No scientific awards were documented in the provided materials.
Student advisement and grant details are unreported, but participation in the UK PROSPECTS trial and NHS screening program studies indicates involvement in externally funded clinical research. Key collaborators include George Partridge, Peter Phillips, Mitchell Searjeant, and Ellhia Sudin across multi-site NHS hospital networks.
Chen Yan contributes to a University of Cumbria research team developing automated eye tracking software for medical settings, including blink identification programs and visual search analysis tools. This group conducts real-world studies within NHS breast screening workflows to translate cognitive science insights into practical reading protocols.
