Validation is not enough: Longitudinal evidence of post-deployment fragility in clinical AI systems [0.03%]
验证不足：临床AI系统部署后的脆弱性纵向证据
Georgy Kopanitsa
Georgy Kopanitsa
Pre-deployment validation is commonly used to establish the safety and effectiveness of clinical artificial intelligence systems, but acceptable validation performance does not guarantee stable behavior after deployment into routine clinica...
Pacing and energy management with digital tools for conditions with chronic fatigue: What we know so far in ME/CFS and Long COVID [0.03%]
利用数字工具进行节奏感和能量管理以应对慢性疲劳状况：关于肌痛性脑脊髓炎/慢性疲劳综合症和长新冠的现状了解
Nilihan E M Sanal-Hayes,Lawrence D Hayes,Marie Mclaughlin et al.
Nilihan E M Sanal-Hayes et al.
Kevin Mekulu,Faisal Aqlan,Hui Yang
Kevin Mekulu
Early detection of cognitive impairment in assisted living is hindered by time-intensive tools like the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). We present a 60-second voice-based screening model th...
Correction: Raising awareness of potential biases in medical machine learning: Experience from a Datathon [0.03%]
纠正：提高人们对医学机器学习中潜在偏差意识：来自一次建模竞赛的经验教训
Harry Hochheiser,Jesse Klug,Thomas Mathie et al.
Harry Hochheiser et al.
[This corrects the article DOI: 10.1371/journal.pdig.0000932.]. Copyright: © 2026 Hochheiser et al. This is an open access article distributed under the...
Published Erratum
PLOS digital health. 2026 Jul 27;5(7):e0001616. DOI:10.1371/journal.pdig.0001616 2026
Multi-scenario evaluation of federated learning for privacy-preserving malaria prediction with Ghana DHS data [0.03%]
基于加纳人口与健康调查数据的联邦学习疟疾预测隐私保护多场景评估研究
Daniel Kwasi Kovor,Eric Opoku Osei
Daniel Kwasi Kovor
Improving malaria prediction in Ghana requires data from across its health system, yet Ghana's Data Protection Act (Act 843) restricts inter-institutional data sharing, and many facilities decline to transfer patient records regardless of l...
Digital food environments and youth diet: What's next for school nutrition policies? [0.03%]
数字化食品环境与青年饮食：学校营养政策的未来方向是什么？
Mika Matsuzaki,Emma Sanchez-Vaznaugh,Joel Gittelsohn et al.
Mika Matsuzaki et al.
Transparency in healthcare AI: Testing EU regulatory provisions against users' transparency needs [0.03%]
医疗保健AI的透明性：测试欧盟监管规定以满足用户的需求
Anna Spagnolli,Cecilia Tolomini,Elisa Beretta et al.
Anna Spagnolli et al.
Algorithmic systems play an essential role in healthcare and are pervasively incorporated into medical software and equipment. In the European Union, providers must share transparency information with deployers (users) via a document called...
Implementation outcomes of AI documentation support in routine clinical practice: A non-randomized controlled trial [0.03%]
人工智能文档支持在常规临床实践中的实施效果：一项非随机对照试验
Felix A Heilmeyer,Lisa Lyssenko,Thomas Reinhard et al.
Felix A Heilmeyer et al.
While large language models (LLMs) show promise for reducing clinical documentation burden, existing studies rely on simulated environments or require supplemental audio inputs. This study evaluates an AI documentation copilot integrated in...
Ensuring data protection for eye images by combining fine-tuned image synthesis and anonymity assessment [0.03%]
结合精调图像合成和匿名性评估保障眼纹数据安全
Sebastian Uschmann,Cord Spreckelsen,Sven Festag
Sebastian Uschmann
Advances in realistic image synthesis have led to several downstream applications in healthcare, particularly the anonymisation of biometric images. However, generative models pose significant privacy risks when synthetic outputs closely re...
Physical activity, sleep pattern and problematic internet use in undergraduate health-sciences students of Nepal - A cross-sectional study [0.03%]
尼泊尔健康科学专业本科生的身体活动、睡眠模式和互联网成瘾问题——一项横断面研究
Jay Prakash Jha,Hiramani Prasad Chaudhary,Dilli Bahadur Pun et al.
Jay Prakash Jha et al.
Unregulated internet use may contribute to problematic internet use (PIU), which impairs health in physical, emotional, social, and functional domains. Excessive use of digital media also bears the potential to affect sleep and physical act...