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Work item:
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F.Med-AI-Colour
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Subject/title:
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Requirements on Colour Data Representation for AI Development and Utilization of Medical Imaging Data in Telehealth
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Status:
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Under study
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2026-10 (Medium priority)
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Liaison:
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IEC, ISO
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Supporting members:
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The University of Tokyo, OKI
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Summary:
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In the medical field, the importance of leveraging AI to improve the efficiency of healthcare professionals is steadily increasing. However, the development of AI requires a large volume of training data, and close collaboration across multiple facilities and participants is essential for generating such data.
Currently, in the use of colour for medical imaging, different devices and software adopt varying approaches to colour reproduction. As a result, even images of the same subject often display inconsistent colour representations, which in turn reduces the efficiency of AI development workflows.
The methods in this new work item will help AI developers reduce the burden of data collection for each device as well as healthcare professionals also lessen the workload associated with data creation. Additionally, the accuracy of AI analysis can improve as noise from colour differences due to devices and software is minimized, enhancing reproducibility and precision. This will increase the reliability of medical image processing and display, ultimately contributing to the improvement of healthcare services for patients.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2025-11-13 14:32:17
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Last update:
2025-11-18 16:29:19
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