Author Correction: Digital biomarkers for brain health: passive and continuous assessment from wearable sensors [0.03%]
作者更正：用于脑健康的数字生物标志物：来自可穿戴传感器的被动和连续评估
Igor Matias,Maximilian Haas,Eric J Daza et al.
Igor Matias et al.
Published Erratum
NPJ digital medicine. 2026 Aug 1;9(1):591. DOI:10.1038/s41746-026-03031-4 2026
Perceptions of simulated artificial intelligence in medical consultations: associations with stress, memory, and perceived credibility [0.03%]
模拟人工智能在医学咨询中的感知：与压力、记忆和可信度的关联
Carlotta J Mayer,Tristan L Swysen,Tobias R Kurz et al.
Carlotta J Mayer et al.
The growing integration of digital technologies into healthcare requires understanding the impact of different consultation modalities on patient stress, memory and perceived credibility. This study compared different consultation modalitie...
Nationwide federated learning for histopathology: secure deployment across Germany behind firewalls [0.03%]
安全的联邦学习在德国防火墙后的病理学全国部署
Niklas Babendererde,Nick Lemke,Jonathan Stieber et al.
Niklas Babendererde et al.
Federated Learning (FL) enables collaborative training across institutions without sharing sensitive data, a solution for privacy-preserving AI in medical imaging. However, hospital deployment remains challenging due to strict data protecti...
Davy van de Sande,Nicoleta Economou-Zavlanos,Michel E van Genderen
Davy van de Sande
Human oversight of medical AI is increasingly required, but clinician presence alone does not make oversight meaningful. We propose four interlocking conditions—epistemic capacity, cognitive space, decisional authority, and intervention ef...
Taiyu Zhu,Alexander Tashevski,Maxime Taquet et al.
Taiyu Zhu et al.
Psychosis prevention relies on early detection of individuals at clinical high risk for psychosis (CHR-P). The effectiveness of the CHR-P state is constrained, in part, due to clinical assessments requiring specialist interpretation of narr...
Nick K Schneider,Ariel Dora Stern,W Nicholson Price Ii et al.
Nick K Schneider et al.
Agile legislation adapts principles from agile software development to lawmaking, emphasizing iteration, multi-stakeholder feedback, and embedded revision. We outline this learning-oriented governance model using three case studies: Germany...
Jiwon You,Hangsik Shin
Jiwon You
Large language models (LLMs) show strong generalization, yet their ability to interpret structured medical data remains insufficiently studied. This work evaluated four LLMs-Claude Sonnet 4, Gemini 2.5 Pro, GPT-4o, and LLaMA 3.1-70B-using c...
Real-world deployment of remote sleep monitoring technologies reveals distinct patterns associated with cognitive decline [0.03%]
远程睡眠监测技术的现实应用揭示了与认知衰退相关的独特模式
Nan Fletcher-Lloyd,Nathalia Céspedes Gómez,Alexander Capstick et al.
Nan Fletcher-Lloyd et al.
Examining sleep patterns in relation to chronological ageing and dementia can provide insights for risk screening. Integrating predictive models with remote sleep monitoring enables routine assessment of cognitive decline symptoms in high-r...
Developer evidence and user satisfaction in mental health apps across China and the United States [0.03%]
中美精神健康应用开发者的证据类型及用户满意度研究
Jun Liang,Junhao Ma,Xingxi Li et al.
Jun Liang et al.
Mental health applications (MHAs) hold promise for expanding access to care, yet user satisfaction varies across cultural contexts. Drawing on value co-creation theory, this study integrates developer and user perspectives to examine cross-...
Multi-task deep learning model for predicting EGFR mutation status in NSCLC [0.03%]
一种预测NSCLC患者EGFR突变状态的多任务深度学习模型
Qilong Song,Xiaohu Li,Biao Song et al.
Qilong Song et al.
Multi-task DL for predicting EGFR mutation status Epidermal growth factor receptor (EGFR) mutation status is a critical biomarker in the management of non-small cell lung cancer (NSCLC), playing an essential role in selecting patients for E...