CAREER: Towards Gaze-guided Medical Image Analysis — NSF Award to SUNY at Stony Brook (NY, $345,207)
Medical image interpretation is a complex, context-dependent process that requires nuanced reasoning and decision-making, honed through years of clinical experience. Eye gaze patterns, a rich source of implicit expert knowledge, reveal how clinicians systematically identify and interpret critical features in medical im
| Award title | CAREER: Towards Gaze-guided Medical Image Analysis |
|---|---|
| Award ID | 2442053 |
| Awardee | SUNY at Stony Brook |
| City | STONY BROOK |
| State | NY |
| Amount obligated | $345,207 |
| Principal investigator | Prateek Prasanna |
| Program | Info Integration & Informatics |
| Start date | 06/15/2025 |
| Abstract | Medical image interpretation is a complex, context-dependent process that requires nuanced reasoning and decision-making, honed through years of clinical experience. Eye gaze patterns, a rich source of implicit expert knowledge, reveal how clinicians systematically identify and interpret critical features in medical images. This project seeks to integrate these expert visual search patterns into machine learning (ML) frameworks, addressing the current gap in how ML models interpret medical image |
| Source | NSF Awards |
$799/mo
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