Re-investigation of functional gastrointestinal disorders utilizing a machine learning approach [0.03%]
利用机器学习方法重新调查功能胃肠病学障碍
Elahe Mousavi,Ammar Hasanzadeh Keshteli,Mohammadreza Sehhati et al.
Elahe Mousavi et al.
Background: Functional gastrointestinal disorders (FGIDs), as a group of syndromes with no identified structural or pathophysiological biomarkers, are currently classified by Rome criteria based on gastrointestinal sympto...
Changxi Wang,Qilin Liu,Haopeng Zhou et al.
Changxi Wang et al.
Background: Large-scale medical equipment, which is extensively implemented in medical services, is of vital importance for diagnosis but vulnerable to various anomalies and failures. Most hospitals that conduct regular m...
Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction [0.03%]
基于机器学习的心力衰竭预测模型的构建及比较（发病为急性心肌梗死）
Xuewen Li,Chengming Shang,Changyan Xu et al.
Xuewen Li et al.
Aims: Heart failure (HF) is one of the common adverse cardiovascular events after acute myocardial infarction (AMI), but the predictive efficacy of numerous machine learning (ML) built models is unclear. This study aimed ...
Implementing shared decision-making interventions in breast cancer clinical practice: a scoping review [0.03%]
乳腺癌临床实践中的共同决策干预措施的实施：系统综述
Natalia Oprea,Vittoria Ardito,Oriana Ciani
Natalia Oprea
Background: Shared decision-making (SDM) is a collaborative process whereby patients and clinicians jointly deliberate on the best treatment option that takes into account patients' preferences and values. In breast cance...
Shared decision making for anticoagulation reduces anxiety and improves adherence in patients with atrial fibrillation [0.03%]
与患者共同决定抗凝治疗可减少房颤患者的焦虑并改善其依从性
Hsiao-Hui Chiu,Shih-Lin Chang,Hao-Min Cheng et al.
Hsiao-Hui Chiu et al.
Background: Treatment with oral anticoagulants (OACs) could prevent stroke in atrial fibrillation (AF), but side effects developed due to OACs may cause patients anxiety during decision making. This study aimed to investi...
The quality of German - language patient decision aids for oncological patients on the internet [0.03%]
网络上德国语言的肿瘤患者决策支持工具的质量研究
Julia Möller,Lena Josfeld,Christian Keinki et al.
Julia Möller et al.
Background: Previous studies have already shown that decision aids are a suitable tool for patient decision-making. The aim of this work is to conduct an online search for freely available, German-language patient decisio...
Xinyuan Zhang,Rebecca Z Lin,Muhammad Tuan Amith et al.
Xinyuan Zhang et al.
Background: The utilization of dermoscopic analysis is becoming increasingly critical for diagnosing skin diseases by physicians and even artificial intelligence. With the expansion of dermoscopy, its vocabulary has proli...
Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis [0.03%]
构建一种值得信赖的AI差异性诊断应用程序以区分克罗恩病和肠结核
Keming Lu,Yuanren Tong,Si Yu et al.
Keming Lu et al.
Background: Differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB) with endoscopy is challenging. We aim to perform more accurate endoscopic diagnosis between CD and ITB by building a trustworthy A...
Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease [0.03%]
终末期肾脏病患者透析方式选择中的共同决策及其感知研究
Shih-Ming Hsiao,Mei-Chuan Kuo,Pei-Ni Hsiao et al.
Shih-Ming Hsiao et al.
Background: Current healthcare trends emphasize the use of shared decision-making (SDM) for renal replacement treatment (RRT) in patients with chronic kidney disease (CKD). This is crucial to understand the relationship b...
Perceptions of chief clinical information officers on the state of electronic health records systems interoperability in NHS England: a qualitative interview study [0.03%]
英格兰国家医疗服务体系首席临床信息官对电子健康记录系统互操作性的看法：定性访谈研究
Edmond Li,Olivia Lounsbury,Jonathan Clarke et al.
Edmond Li et al.
Background: In the era of electronic health records (EHR), the ability to share clinical data is a key facilitator of healthcare delivery. Since the introduction of EHRs, this aspect has been extensively studied from the ...