Telepresence avatar use for children with cancer in schools: a study on barriers and facilitators [0.03%]
用于学校的癌症儿童的远程呈现机器人avatar使用：一项关于障碍和促进因素的研究
Friederike Carlotta Grabowski,Jana Dördelmann,Britta Exner et al.
Friederike Carlotta Grabowski et al.
Purpose: Children with cancer often face psychosocial and educational challenges due to prolonged school absences. Telepresence avatars offer the possibility of maintaining virtual classroom participation. This study exam...
Diffusion meets edge awareness: a unified framework for high-precision ultrasound nerve segmentation [0.03%]
扩散遇到边缘感知：一种高精度超声神经分割的统一框架
Tanaya Mahalanabis,OmKumar Chandra Umakanthan
Tanaya Mahalanabis
Introduction: Nerve segmentation from ultrasound images is still challenging due to speckle noise, poor contrast, and unclear anatomical edges. These limitations have an adverse effect on deep learning segmentation models...
Correction: Gastric cancer survival prediction using artificial intelligence models based on electronic health records: a systematic review and meta-analysis [0.03%]
纠正：基于电子健康记录的人工智能模型胃癌生存预测：系统评价和 Meta 分析
Maryana Mandrina,Tigran Gevorkyan,Sergey Zvezda et al.
Maryana Mandrina et al.
[This corrects the article DOI: 10.3389/fdgth.2026.1845932.]. Keywords: artificial intelligence; electronic ...
Published Erratum
Frontiers in digital health. 2026 Jul 9:8:1920862. DOI:10.3389/fdgth.2026.1920862 2026
Translational AI in whole-slide image cancer histopathology: state of the art and regulatory-approved solutions [0.03%]
全玻片图像癌症病理学中的转化人工智能：现状及监管批准的解决方案
Richard Oliver Matzko,Burak Kucukgoz,Pawel Gertner et al.
Richard Oliver Matzko et al.
With an emphasis on applied evidence, we present an in-depth evaluation of artificial intelligence (AI) in cancer histopathology through the lens of United States Food and Drug Administration (FDA)-approved and European Conformity-marked wh...
Digital phenotyping for mental health conditions: a systematic review of implementation and application [0.03%]
数字表型在心理健康状况中的实施和应用系统性综述
Nadia Binte Alam,Tahsinul Haque,Sanjana Subedar et al.
Nadia Binte Alam et al.
Introduction: Digital phenotyping (DP) has emerged as a promising approach for monitoring mental health conditions using passive and active data from personal digital devices. However, existing research is highly fragment...
Streamlining eligibility assessment for Alzheimer's disease-modifying therapies: Prediction of MMSE scores using the digital clock and recall [0.03%]
简化阿尔茨海默病改良疗法资格评估：使用数字钟表预测MMSE评分
Ali Jannati,Claudio Toro-Serey,Marissa Ciesla et al.
Ali Jannati et al.
Introduction: The eligibility of anti-amyloid disease-modifying therapies (DMTs) and their integration into clinical practice in some institutions requires a specific range of Mini-Mental State Examination (MMSE) scores. ...
Explainable multimodal AI and neuro-symbolic clinical decision support system for chronic eye disease management: a digital health implementation study [0.03%]
用于慢性眼病管理的解释型多模态AI和神经符号临床决策支持系统：一项数字健康实施研究
Mini Han Wang,Simon Ming Yuen Lee,Guanghui Hou et al.
Mini Han Wang et al.
Introduction: Administrative burden and documentation workload are increasingly recognized as major contributors to healthcare costs and clinician burnout, particularly in chronic disease management such as age-related ma...
A deep learning approach for acoustic-based identification of muscle tension dysphonia and spasmodic dysphonia [0.03%]
基于深度学习的肌肉紧张性失语和痉挛性失语声学识别方法
Zhou Zhou,Yuan Cheng,Qingyi Ren et al.
Zhou Zhou et al.
Problem: Differentiating between spasmodic dysphonia (SD), a neurological disorder, and muscle tension dysphonia (MTD), a behavioral voice disorder, based on auditory perception alone is a common clinical challenge. This ...
HAMAgent: human assisted multiagent system for emotion recognition and digital health-a survey and preliminary study [0.03%]
HAMAgent: 带有人工辅助的情感识别和数字健康多智能系统的调查与初步研究
Yupei Li,Qiyang Sun,Jiahao Xue et al.
Yupei Li et al.
This study surveys existing multi-large language model (LLM) agent applications, comparing systems that incorporate active human participation with those that operate fully autonomously within digital health contexts. Building on this analy...
Smartphone-based vestibular & gait analysis for remote fall risk assessment [0.03%]
基于智能手机的前庭及步态分析远程跌倒风险评估方法
Eugene Rezk,Marion Luschin-Ebengreuth,Hannes Kaufmann
Eugene Rezk
Dizziness and vertigo are among the most common reasons for clinical consultation worldwide and represent key risk factors for falls, particularly in neurologic and neuroorthopedic patient populations. Early identification of balance and ga...