Healthcare AI is advancing rapidly, yet many organizations still face a critical issue inaccurate model outputs. From misdiagnosed medical images to unreliable patient predictions, even small errors can have serious consequences. According to multiple industry studies, poor data quality accounts for nearly 70–80% of AI project failures, making it one of the biggest barriers to...
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