Automated transcatheter heart valve 4DCT-based deformation assessment throughout the cardiac cycle: Towards enhanced long-term durability [0.03%]
基于经皮心脏瓣膜整个心动周期的自动化4维CT形变评估：提高长期耐久性的方法
Laura Busto,César Veiga,José A González-Nóvoa et al.
Laura Busto et al.
Background: Transcatheter heart valve (THV) durability is a critical concern, and its deformation may influence long-term performance. Current assessments rely on CT-based single-phase measurements and require a tedious a...
Using a statewide health information exchange to enhance COVID research and surveillance: The impact of information fragmentation [0.03%]
利用全州卫生信息交换以增强COVID研究和监测：信息碎片化的影响
Katie S Allen,Seho Park,John Price et al.
Katie S Allen et al.
Objective: Use of electronic health data for public health surveillance and research has become almost ubiquitous. However, since many patients routinely receive care from multiple healthcare systems, not all information ...
Patient perspectives on artificial intelligence in healthcare: A global scoping review of benefits, ethical concerns, and implementation strategies [0.03%]
患者视角下的医疗保健人工智能：收益、伦理问题及实施策略的全球综述
Bashkin Osnat
Bashkin Osnat
Objectives: The integration of artificial intelligence (AI) into healthcare offers opportunities for improving patient care, yet successful implementation relies on patient acceptance. Understanding how patients perceive ...
Enhancing qualitative research through virtual focus groups and artificial intelligence: A review [0.03%]
通过虚拟焦点小组和人工智能增强定性研究：综述
David B Olawade,Deborah Omeni,Manisha Nitin Gore et al.
David B Olawade et al.
Background: The rapid integration of digital technologies and artificial intelligence (AI) into qualitative research has significantly transformed traditional methods of conducting focus group discussions (FGDs). Online p...
Development and evaluation of a retrieval-augmented large language model framework for enhancing endodontic education [0.03%]
一种增强牙髓病学教育的检索增强型大型语言模型框架的开发与评估
Xiaowei Xu,Siyi Liu,Lin Zhu et al.
Xiaowei Xu et al.
Background: Integrating domain-specific knowledge into large language models (LLMs) remains a critical challenge in medical education. In dental specialties such as endodontics, effective learning requires access to both ...
Physician perspectives on Artificial Intelligence in healthcare: a cross-sectional study of child-focused care in a Turkish tertiary hospital [0.03%]
土耳其三级医院儿科医护人员视角下的医疗人工智能：横断面研究
Oguzhan Serin,Banu Fulya Yıldırım,Fatma Duman et al.
Oguzhan Serin et al.
Background: Artificial intelligence (AI) is transforming healthcare, yet many physicians struggle with its understanding and adoption. Existing research often overlooks developing countries like Turkey and rarely focuses ...
Investigating older adults' technology attitudes: Psychometric evaluation and cross-cultural adaptation of the TechPH scale [0.03%]
老年人技术态度调查：TechPH量表的 psychometric 评估和跨文化改编
Ecem Özgül,Nedime Hazal Döner,Gülsüm Nihal Çürük
Ecem Özgül
This study aimed to examine the psychometric properties of the Turkish version of the TechPH scale (TechPH-T) among older adults. A descriptive, methodological, and cross-sectional design was employed. Data were collected between February a...
Evaluation of an AI facial recognition system for Turner Syndrome screening and facial complexity: a prospective cohort [0.03%]
用于筛查唐氏综合征的AI面部识别系统评估及面部复杂性：前瞻性队列研究
Jiaqi Qiang,Weixin Hong,Yuxin Sun et al.
Jiaqi Qiang et al.
Purpose: Artificial intelligence-based facial recognition (AI-FR) is promising in diagnosis of diseases with distinct facial features. Our team has retrospectively constructed an AI-FR system for Turner Syndrome (TS) base...
Artificial intelligence vs human expertise: A comparison of plantar fascia thickness measurements through MRI imaging [0.03%]
人工智能与人类专业技能的比较：通过磁共振成像测量跖筋膜厚度
Bülent Alyanak,İsa Çakar,Burak Tayyip Dede et al.
Bülent Alyanak et al.
Objective: This study aims to evaluate the reliability of plantar fascia thickness measurements performed by ChatGPT-4 using magnetic resonance imaging (MRI) compared to those obtained by an experienced clinician. ...
Explainable AI assisted vertebral refracture diagnosis after percutaneous vertebroplasty through effective feature engineering and stacked ensemble learning [0.03%]
基于有效特征工程和栈式集成学习的经皮椎体成形术后椎体再骨折的可解释人工智能辅助诊断方法研究
Hao Li,Lei Miao,Enjie Wang et al.
Hao Li et al.
Background and objective: To develop and validate a machine learning model based on stacking ensemble learning and feature selection strategies to predict vertebral refracture risk after percutaneous vertebroplasty. ...