Search papers, labs, and topics across Lattice.
7
0
10
48
It is suggested that voice-based acoustic AI could complement existing diagnostic workflows by enabling rapid, low-burden, and widely accessible screening for airway stenosis by enabling rapid, low-burden, and widely accessible screening for airway stenosis.
FRAME reveals that up to 41% of racial performance differences in medical imaging may stem from sampling variation rather than actual bias, challenging conventional fairness assessments.
ACT uncovers that only 97 observations drive the predictions for 221 clinical phenotypes, revealing potential shortcuts in medical imaging interpretations.
Self-supervised learning outperforms clinical supervision in aligning medical image representations, challenging assumptions about model interchangeability.
CANDOR reveals that even top-performing encoders misclassify nearly 18.4% of positive cases, challenging the notion of their reliability in clinical settings.
Scaling clinical LLMs doesn't guarantee safety: high-risk errors persist even with advanced RAG and max-context prompting, highlighting the critical role of evidence quality and deployment strategy.
Even with multi-agent adjudication, MLLMs still struggle to reliably differentiate visually confounded diseases in a zero-shot setting, highlighting limitations in current agent-based diagnostic approaches.
