Robust nasality representation learning for cleft palate-related velopharyngeal dysfunction screening in real-world settings [0.03%]
唇裂相关的咽腭功能障碍的鲁棒鼻音表示学习及实际应用筛查研究
Weixin Liu,Bowen Qu,Amy Stone et al.
Weixin Liu et al.
Background: Velopharyngeal dysfunction (VPD) is an impaired ability to achieve adequate velopharyngeal closure during speech, often resulting in hypernasality and reduced intelligibility. VPD screening and diagnosis requi...
Contextual recommendation modeling in eCoaching with machine learning, X-AI, and semantic ontology [0.03%]
基于机器学习、X-AI 和语义本体的电子辅导中的情境推荐模型
Ayan Chatterjee,Nurilla Avazov
Ayan Chatterjee
Physical activities can be divided into indoor and outdoor activities. While outdoor activities offer enjoyable fitness opportunities, they are often limited by weather conditions. Unfavorable weather conditions such as cold, rain, fog, or ...
The potential of LLMs in generating questions and answers with EHRs [0.03%]
大型语言模型在利用电子健康记录生成问与答方面的潜力
Yunqi Zhu,Wen Tang,Huayu Yang et al.
Yunqi Zhu et al.
Background: This study aimed to generate medical qualification exam questions and their corresponding answers from real-world electronic health records (EHRs) with large language models (LLMs), and to compare their output...
Recurring implementation determinants in digital health innovations: a multi-context multiple case study and cross-case synthesis into a four-domain analytical framework [0.03%]
数字化健康创新中的重复实施决定因素：多背景、多重案例研究及四领域分析框架的跨案例综合
Mariusz Jaworski,Petra Petrová,Thomas Spittler et al.
Mariusz Jaworski et al.
Digital health technologies are increasingly used in healthcare, but their implementation in routine practice remains uneven. Many solutions are introduced as pilots but are not sustained, scaled up, or fully embedded in everyday organizati...
A hybrid deep learning and cellular automata framework with fractional derivatives for skin type and skin disease classification [0.03%]
一种基于分数阶导数的混合深度学习和元胞自动机的皮肤类型及皮肤病分类框架
M V N S S Kiranmai,C Thanmayee Reddy,Gaddam Nikitha et al.
M V N S S Kiranmai et al.
Introduction: A hybrid deep learning and mathematical modeling approach to automatic identification of skin type and multi-class classification of skin diseases based on dermatological images are proposed in this paper. A...
An intelligent digital twin framework with AI-driven optimization for patient flow and clinical scheduling in smart healthcare systems [0.03%]
一种用于智能医疗系统的患者流动和临床预约的AI驱动优化的智能数字孪生框架
Stalin Victor Balthasar,Suguna Marappan,Logesh Ravi
Stalin Victor Balthasar
The operation of the emergency departments at hospitals can be faced with many operational difficulties due to their unpredictable nature, resource scarcity, and increased pressure on services. In this paper, we propose a multi-level AI-enh...
The impact of training and education programs for healthcare professionals on video- and text-based consultations in ensuring healthcare quality: a scoping review [0.03%]
医护人员视听及文本咨询培训与教育项目对保证医疗服务质量的影响：综述研究
Md Shafiqur Rahman Jabin,Nussrat Bi,Shiji Thomas et al.
Md Shafiqur Rahman Jabin et al.
Background: The rapid expansion of video- and text-based consultations has transformed healthcare delivery, particularly during and after the COVID-19 pandemic. As virtual care becomes embedded in routine practice, health...
Physicians' acceptance of large language model-based clinical decision support tools in gynecologic oncology: a technology acceptance model study [0.03%]
基于技术接受模型的妇科肿瘤学中医生对大型语言模型临床决策支持工具的接受度研究
Jan Lennart Stalp,Juliane Alexandra Schneider,Anna Krause et al.
Jan Lennart Stalp et al.
Introduction: Medical decision-making is characterized by rapidly evolving evidence being represented by national and international guidelines that form the decision basis for treatment recommendations. Large language mod...
You must not fool yourself: Feynman, neurodiversity, and honest AI in digital mental health [0.03%]
不要自欺：费曼、神经多样性与数字精神健康中的诚实人工智能
David Ruttenberg
David Ruttenberg
Digital mental health is undergoing rapid transformation through the deployment of artificial intelligence (AI) systems including conversational agents, risk-prediction tools, and clinical decision-support platforms. Despite growing enthusi...
A consensus-based evaluation framework for telehealth in resource-constrained settings: evidence from a community Delphi study in Colombia [0.03%]
一种基于共识的评估框架：哥伦比亚社区德尔菲研究中的远程医疗服务证据
John Michael Diaz,Ysabel Polanco,Lara Vargas Alvarez et al.
John Michael Diaz et al.
Introduction: Telehealth has expanded rapidly as a strategy to improve access to health care for underserved populations, yet robust, equity-focused evaluation frameworks remain limited in low-resource and displacement-af...