EP201: Decoding Decisions: Eye-Tracking Insights in Diagnostics
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EP201: Decoding Decisions: Eye-Tracking Insights in Diagnostics
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The Impact of Gaze and Fatigue on Medical Decision-Making with Dr. Bulat Ibragimov
In this episode of The Girl Doc Survival Guide, Christine interviews Dr. Bulat Ibragimov, an Associate Professor of Machine Learning and Medical Imaging at the University of Copenhagen. Dr. Ibragimov shares personal anecdotes and discusses his research on the role of artificial intelligence and eye tracking in medical decision-making. Key topics include the impact of gaze patterns and fatigue on diagnostic accuracy, the potential for AI to recognize when doctors may make errors, and how individualized gaze patterns can indicate the level of expertise and certainty in medical professionals. The conversation explores the implications of this research for improving the integration of AI in medical practices and enhancing training and decision-making processes for healthcare professionals.
00:00 Introduction and Guest Introduction
00:49 Personal Anecdote and Background
01:46 Eye Tracking and Medical Decision Making
03:18 Patterns in Gaze and Error Prediction
11:00 Fatigue and Its Impact on Accuracy
16:09 AI and Gaze Analysis in Medical Training
20:07 Conclusion and Final Thoughts