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Quantum Innovation Centre (Q.InC), Agency for Science, Technology and Research, Singapore, School of Advanced International Studies, Johns Hopkins University, Washington, District of Columbia, United States
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Dropping echocardiogram data nearly doubles error rates in cardiac AI models, revealing critical modality dependencies that could impact clinical decisions.
Quantum kernels unlock signal in medical image embeddings where classical methods fail, suggesting a new path for extracting value from medical foundation models.
