arXiv:2509.26219v3 Announce Type: replace-cross Abstract: Dataset distillation aims to compress training data while preserving training-aware knowledge, alleviating the reliance on large-scale datasets in modern model training. Dataset parameterization provides a more efficient storage structure for dataset distillation, reducing redundancy and accommodating richer information. However, existing methods either rely on complex auxiliary modules or fail to […]

arXiv:2511.02933v2 Announce Type: replace-cross Abstract: Data augmentation is widely used in vision to introduce variation and mitigate overfitting, by enabling models to learn invariant properties. However, augmentation only indirectly captures these properties and does not explicitly constrain the learned function to satisfy them beyond the empirical training set. We propose generative hints, a training methodology […]

arXiv:2511.11533v2 Announce Type: replace-cross Abstract: Ergodic control synthesizes optimal coverage behaviors over spatial distributions for nonlinear systems. However, existing formulations model the robot as a non-volumetric point, whereas in practice a robot interacts with the environment through its body and sensors with physical volume. In this work, we introduce a new ergodic control formulation that […]

arXiv:2603.17759v2 Announce Type: cross Abstract: Dark humor often relies on subtle cultural nuances and implicit cues that require contextual reasoning to interpret, posing safety challenges that current static benchmarks fail to capture. To address this, we introduce a novel multimodal, multilingual benchmark for detecting and understanding harmful and offensive humor. Our manually curated dataset comprises […]

Background: Otitis media (OM) is a common pediatric infection worldwide. Conventionally, accurate diagnosis depends on in-person pneumatic otoscopy, which is not always accessible, contributing to delayed care and inappropriate prescribing, especially in underserved settings. Rapid advances in telemedicine and digital tools have accelerated the development of remote approaches for assessing pediatric ear diseases, while diagnostic […]

npj Digital Medicine, Published online: 19 March 2026; doi:10.1038/s41746-026-02556-y Randomised study of human machine collaboration for cardiotocography interpretation during labour

npj Digital Medicine, Published online: 19 March 2026; doi:10.1038/s41746-026-02552-2 Innovating global regulatory frameworks for generative AI in medical devices is an urgent priority

npj Digital Medicine, Published online: 19 March 2026; doi:10.1038/s41746-026-02484-x Advancing diagnostic equity through artificial intelligence chest radiograph screening for osteoporosis in Asian populations

npj Digital Medicine, Published online: 19 March 2026; doi:10.1038/s41746-026-02548-y Real-world unified denoising for multi-organ fast MRI: a large-scale prospective validation

Background: Artificial intelligence (AI) models have been increasingly explored for predicting treatment response to cognitive behavioral therapy (CBT) in patients with anxiety disorders. Identifying potential responders in advance may help inform treatment planning and support clinical decision-making. Although a growing number of studies have applied AI techniques in this context, reported performance estimates vary across […]

Background: Telehealth use surged during the COVID-19 pandemic and has stabilized at levels substantially above prepandemic baselines. However, concerns persist that the digital divide may reproduce or widen disparities in access. Understanding the determinants of telehealth use—and particularly modality choice between video and audio—is essential for designing policies that promote equitable access in the post–public […]

Background: Short-form videos (SFVs) have emerged as a dominant trend in digital content sharing over the past decade, gaining rapid global popularity. An increasing number of studies have explored the association between SFV use and mental health, yet current empirical evidence remains inconsistent. Objective: This study aimed to provide a comprehensive synthesis examining the relationship […]