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Another promising area is the use of artificial intelligence (AI) and machine learning to analyze **NBI** images. AI algorithms can be trained to recognize subtle patterns and abnormalities that might be missed by the human eye. This could help to improve the accuracy jake anderson captain and efficiency of NBI-based diagnoses. AI-assisted NBI could also help to standardize the interpretation of images, reducing the variability between different observers. This is a particularly exciting prospect, as it could make NBI more accessible and reliable in a wider range of clinical settings.
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