Eye-Tracking Study Opens: Does AI Timing Shape How Clinicians Read Chest X-rays? — What Radiologists and Clinicians Need to Know

References

1. 1.University Hospitals, Leicester. (2025). A within-subject eye-tracking study examining how the timing of AI decision support influences visual search behaviour, diagnostic accuracy, and trust during chest X-ray interpretation (NCT07675694). ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07675694
2. 2.Bertram, R., Helle, L., Kaakinen, J. K., & Svedström, E. (2013). The effect of expertise on eye movement behaviour in medical image perception. PLOS ONE, 8(6), e66169. https://doi.org/10.1371/journal.pone.0066169
3. 3.Drew, T., Võ, M. L.-H., & Wolfe, J. M. (2013). The invisible gorilla strikes again: Sustained inattentional blindness in expert observers. Psychological Science, 24(9), 1848–1853. https://doi.org/10.1177/0956797613479386
4. 4.Medicines and Healthcare products Regulatory Agency. (2023). Software and AI as a medical device change programme: Roadmap. MHRA. https://www.gov.uk/government/publications/software-and-ai-as-a-medical-device-change-programme-roadmap
5. 5.Gaube, S., Suresh, H., Raue, M., Merritt, A., Berkowitz, S. J., Lermer, E., Coughlin, J. F., Guttag, J. V., Colak, E., & Ghassemi, M. (2021). Do as AI say: Susceptibility in deployment of clinical decision-aids. npj Digital Medicine, 4(1), 31. https://doi.org/10.1038/s41746-021-00385-9
6. 6.Waite, S., Scott, J., Gale, B., Fuchs, T., Kolla, S., & Reede, D. (2017). Interpretive error in radiology. American Journal of Roentgenology, 208(4), 739–749. https://doi.org/10.2214/AJR.16.16963