IEEE EMBS NY Chapter Presentation by Dr. Elizabeth Krupinski, "Medical Image Perception & The Human Observer"

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Medical images constitute a core portion of the information physicians utilize to render diagnostic and treatment decisions. At a fundamental level, the diagnostic process involves two aspects – visually inspecting the image (perception) and rendering an interpretation (cognition). Key indications of expert interpretation of medical images are consistent, accurate and efficient diagnostic performance, but how do we know when someone has attained the level of training required to be considered an expert? How do we know the best way to present images to the clinician to optimize accuracy and efficiency? Artificial intelligence schemes are being developed to assist with medical image acquisition, interpretation, and
treatment decision-making, but to optimize and integrate these tools into everyday clinical routines, we need to consider both the technology and the human part of the human-technology interface equation.

The advent of digital imaging and associated tools in many clinical specialties, including radiology, pathology,   and dermatology, has dramatically changed the way that clinicians view images, how residents are trained, and thus potentially the way they interpret image information, emphasizing our need to understand how clinicians interact with the information in an image during the interpretation process. With improved understanding using tools such as eye-tracking we can develop ways to further improve decision-making and thus improve patient care.

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12:00 noon - Introduction and Opening Remarks

12:10 pm - Start Presentation

1:15 pm - Questions & Answers

1:30 pm - Conclusion and Closing Remarks

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Join Zoom Meeting

https://columbiacuimc.zoom.us/ 
Mon Oct 14, 2024 12 pm - 1:30 pm (EDT)
Meeting ID: 913 2878 4499
Passcode: 991521

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