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CoPlan empowers clinicians and patients to collaboratively shape care plans, ensuring that AI recommendations are not just accepted but actively contested and refined.
Expert-verified annotations for depression symptoms can now evolve autonomously, improving consistency and transparency in mental health AI systems.
ALDM achieves unprecedented MRI synthesis quality in few-shot settings, outperforming traditional methods and setting a new benchmark for clinical data augmentation.
Despite advanced LLM capabilities, achieving precise HTS code classification remains a challenge, underscoring the necessity for a collaborative, evidence-based approach.
Clinicians can now contest AI-driven psychiatric diagnoses using wearable ECG data, thanks to a novel system that flags inconsistent predictions and facilitates collaborative refinement.