IntroductionImplementing change in organizations is challenging, and a key factor in success is the perception of the implementers. While many studies report on implementers’ perceptions as barriers or facilitators for implementing innovations, they often do not examine how these perceptions change over time. We aimed to evaluate changes in perceptions among nurses and psychiatrists in […]
Recruitment strategies and participant motivations in a digital randomized controlled trial for the prevention of anxiety disorders: the prevANS study
BackgroundAnxiety disorders are among the most prevalent mental health problems worldwide, and access to effective treatment is not always available. Preventive interventions need to be scalable and cost-effective, which can be achieved through communication and information technologies. However, recruiting participants for digital prevention trials remains a major methodological challenge.AimTo evaluate the performance of different approaches […]
AI-driven healthcare: a trend toward better healthcare or the emergence of public health burden
Recently, artificial intelligence (AI) has become a potent and innovative branch of computer science that is rapidly transforming healthcare delivery across the world. With its promise of improved diagnostics, individualized care, and effective health service management, it has the potential to fundamentally change medical practice and healthcare delivery. Yet, despite its potential, AI’s growing influence […]
Anthropic joins Gates Foundation on $200m health AI pledge
Anthropic and the Gates Foundation’s initiative will close a gap in access to AI tools between high- and lower-income countries.
How Chinese short dramas became AI content machines
In a dimly lit bedroom, a frightened young woman is thrown onto a bed by a tall, muscular man. He grabs her hand, and flame-like vines crawl across her body, fusing with her flesh. She levitates, then drops. A dragon-shaped tattoo appears across her chest. “Two months,” the man says. “Give me an heir, or […]
The world is on track to miss its health targets
Every year the World Health Organization publishes a global health statistics report. It features the numbers behind world health trends and, importantly, assesses whether we’re on track to reach ambitious goals set in 2015. It’s a bit like a health grade. The 2026 report was published on Wednesday. And the results aren’t looking brilliant. While […]
Supreme Court preserves mail access for abortion pill
The Supreme Court will continue to allow the abortion pill mifepristone to be distributed by mail, at least for now. The Thursday ruling maintains mifepristone’s current safety protocols while litigation over …
Privacy-preserving augmentation of structured telehealth activity data in diabetes patients using natural language processing
IntroductionDiabetes management increasingly relies on telehealth platforms in which patients generate structured and unstructured data. This unstructured data, in the form of free-text notes often contain additional information beyond the structured data. Extracting this information can enhance patient profiles and optimize treatment. In particular, the extraction of physical activity information from these notes is considered […]
Patient engagement with consumer wearable devices in the electronic health record
Data from wearable devices have the potential to transform personal health, clinical care and biomedical research. The purpose of this study was to quantify early adoption and short-term engagement with consumer-based wearable devices connected to an EHR outside of a study setting. We analyzed device data from 843 patients (mean age 48 years, 41% female) […]
BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation
arXiv:2605.13859v1 Announce Type: cross Abstract: Spiking Neural Networks (SNNs) offer promising energy-efficient alternatives to large language models (LLMs) due to their event-driven nature and ultra-low power consumption. However, to preserve capacity, most existing spiking LLMs still incur intensive floating-point matrix multiplication (MatMul) and nonlinearities, or training difficulties arising from the complex spatiotemporal dynamics. To address […]
ROAD: Adaptive Data Mixing for Offline-to-Online Reinforcement Learning via Bi-Level Optimization
arXiv:2605.14497v1 Announce Type: cross Abstract: Offline-to-online reinforcement learning harnesses the stability of offline pretraining and the flexibility of online fine-tuning. A key challenge lies in the non-stationary distribution shift between offline datasets and the evolving online policy. Common approaches often rely on static mixing ratios or heuristic-based replay strategies, which lack adaptability to different environments […]
Web Agents Should Adopt the Plan-Then-Execute Paradigm
arXiv:2605.14290v1 Announce Type: cross Abstract: ReAct has become the default architecture across LLM agents, and many existing web agents follow this paradigm. We argue that it is the wrong default for web agents. Instead, web agents should default to plan-then-execute: commit to a task-specific program before observing runtime web content, then execute it. The reason […]