Jan-Willem J R van &#x;t Klooster,Michela Capasso,Daan van Gorssel et al.
Jan-Willem J R van &#x;t Klooster et al.
[This corrects the article DOI: 10.3389/fdgth.2025.1653168.]. Keywords: GPT; UEQ; osteoarthritis; patient co...
Published Erratum
Frontiers in digital health. 2026 Mar 3:8:1812402. DOI:10.3389/fdgth.2026.1812402 2026
The impact of algorithm-driven exposure to disease-related short videos on rehabilitation outcomes in lumbar disc herniation patients: content heterogeneity and psychological mediating mechanisms [0.03%]
基于算法推送的腰椎间盘突出症患者疾病相关短视频接触对其康复效果的影响：内容异质性与心理中介机制研究
Yiping Tong,Yang Li,Chenxi Liu et al.
Yiping Tong et al.
Background: Short videos have become a primary channel for Lumbar Disc Herniation (LDH) patients to obtain disease knowledge and rehabilitation guidance. Algorithm-driven personalized recommendations may expose patients t...
Cohort profile: the Resilient Minds national study of mental health and cognitive resilience in community dwelling adults aged 18 to 93 [0.03%]
研究概况：Resilient Minds 全国心理健康和认知韧性纵向研究（18-93岁社区成年人）
Kaarin J Anstey,Brooke Brady,Lidan Zheng et al.
Kaarin J Anstey et al.
Purpose: The Resilient Minds (ReMind) cohort was established to investigate cognitive and mental health resilience across the life course, addressing a gap in longitudinal evidence about resilience. The study collected da...
Albert Attom
Albert Attom
This article provides a critical narrative synthesis of literature on healthcare management in Africa, focusing on two interconnected areas: the impact of managerial capability on shaping integrated healthcare ecosystems and the adoption, i...
MEDAI-LLM-SUMM: a reporting checklist for medical text summarization studies using large language models [0.03%]
MEDAI-LLM-SUMM：使用大型语言模型进行医学文本摘要研究的报告检查表
Anna N Khoruzhaya,Mariya D Varyukhina,Rustam A Erizhokov et al.
Anna N Khoruzhaya et al.
Background: Medical text summarization using large language models (LLMs) has reached an inflection point in 2024-2025, with adapted models demonstrating capability to match or exceed human expert performance in specific ...
Bibliometric analysis of deep learning for surgical instrument segmentation, detection and tracking in minimally invasive surgery [0.03%]
基于最小侵入式手术的深度学习下的外科器械分割、识别和跟踪文献计量分析
Mahmoud Yousef,Kareem Essam Aly,Mariam Ahmed et al.
Mahmoud Yousef et al.
Background: Deep learning (DL) methods for surgical video analysis have expanded rapidly in minimally invasive surgery (MIS). However, a structured bibliometric overview focused on DL-based surgical instrument segmentatio...
Explainable multimodal feature fusion networks for Parkinson's disease prediction [0.03%]
用于帕金森病预测的可解释多模态特征融合网络
Abishek Ravichandran,Tamilarasi Kathirvel Murugan,Logeswari Govindaraj et al.
Abishek Ravichandran et al.
Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor and non-motor impairments, where early diagnosis remains challenging due to reliance on subjective clinical assessments. Recent artificial intellige...
Predicting kidney injury after cardiac surgery with cardio-pulmonary bypass using machine learning [0.03%]
使用机器学习预测体外循环心脏手术后的肾损伤
Janis Fliegenschmidt,Gunung Sasono,Patricia Cabanillas Silva et al.
Janis Fliegenschmidt et al.
Introduction: Acute kidney injury after cardiac surgery (CSA-AKI) is a common complication after cardiac surgery and an independent predictor of morbidity and mortality. Since evidence-based care is based on risk mitigati...
SeniorHealth Tracker application to support the elderly: technological innovation leveraging humanisation [0.03%]
针对老年人的SeniorHealth Tracker支持应用：人性化技术革新
Juliana Basulo-Ribeiro,Ana Ferreira,Leonor Teixeira
Juliana Basulo-Ribeiro
The advance of medicine and technology has been a catalyst for the population's longevity, reflected in the increase in elderly citizens. However, this increase also comes a burden on caregivers. To address this gap between need and accessi...
AI testing, evaluation, verification and validation for accessibility: a comprehensive framework [0.03%]
面向可访问性的AI测试、评估、验证和确认的全面框架
Gabriella Waters
Gabriella Waters
As artificial intelligence (AI) systems continue to remain prevalent in society, ensuring their accessibility for all users, including those with disabilities, is of great importance. This paper presents a comprehensive framework for AI Tes...