PBM-LED showed a preliminary short-term treatment signal, but the small sample, unilateral nominal finding, nonsignificant adjusted participant-level analyses, visual-acuity changes, and short follow-up preclude definitive efficacy or long-term safety conclusions.
Yu-Ye Duan, Zi-Yi Qi, Fei-Ran Yu et al.· Ophthalmology and Therapy· 0 citations
An overview of the role of machine learning in epilepsy management is provided and the high heterogeneity and bias-particularly in small sample sizes, handling of missing data, and scarcity of studies with external validation-limit its clinical applicability.
R. Chang, Shani Nguyen, Debabrata Mishra et al.· The Lancet Digital Health· 0 citations
VIBE-Bench is introduced, a benchmark with two psychology-grounded tasks, 3,504 personas and 12,239 dialogues, including a manually verified gold test set, and requires cross-concept preference reasoning beyond surface semantic overlap, establishing PRCM as a distinct failure regime in PLLMs and position VIBE-Bench as...
Yi-Wen Jiang, Yang Deng, Stephanie Fong et al.· 0 citations
This work proposes CausalGCD, a causality-inspired framework designed to mitigate domain-shift bias in category discovery and proposes a Causal Geometric Manifold Constraint that enforces invariant manifold-level associations between known and unknown categories across domains, thereby facilitating robust discovery of...
Wei Feng, Yi-Wen Jiang, Sijin Zhou et al.· 1 citation
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