NIH R01 · 2025
SUMMARY Accurate pathologic diagnoses, such as a cancer diagnosis, are the cornerstone of quality patient care. Accurate diagnoses require pathologists to perform a complex series of perceptual and cognitive tasks including visual search, pattern recognition, and decision-making. New artificial intelligence (AI) and computer- aided diagnosis (CAD) technology shows promise for assisting pathologists and could improve diagnostic accuracy. Rigorously evaluating the ways CAD cues can influence clinicians’ behavior, positively or negatively, is necessary to ensure that CAD improves outcomes as intended without introducing unanticipated but dangerous downsides. Our prior work in radiology showed…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.