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Achieving a 74.3% F1 score in microbleed detection reveals a breakthrough in automated MRI analysis that could transform clinical practice.
By disentangling the morphological features of lacunes and enlarged perivascular spaces, this model significantly boosts lacunae detection precision, outperforming previous state-of-the-art methods.
Edge-deployed LLM agents on IoT devices introduce silent sovereignty degradations and easily bypassed provenance chains, revealing critical security risks beyond model and prompt design.
