End-to-end deep learning model for the diagnosis and segmentation of primary retroperitoneal neoplasm: a multicenter cohort study [0.03%]
针对腹膜后原发性肿瘤的诊断与分割的端到端深度学习模型：一项多中心队列研究
Xiang Feng,Qianwen Zhang,Yue Yang et al.
Xiang Feng et al.
Background: Primary retroperitoneal neoplasms (PRNs) are a diverse group of tumors that pose significant diagnostic challenges. Currently, no multicenter-validated diagnostic model exists for multiple PRN types based on c...
Association between skin-to-skin contact and cognition and behaviour at 5 years in children born at 24-31 weeks' gestation: a secondary analysis of a national population-based prospective cohort study [0.03%]
早产儿出生后接受袋鼠式护理与其5岁时的认知行为之间的关系：一项基于全国人口的前瞻性队列研究的二次分析
Ayoub Mitha,Laetitia Marchand-Martin,Claire Zores et al.
Ayoub Mitha et al.
Background: Long-term effects of Skin-to-Skin Contact (SSC) on neurodevelopmental outcome for preterm children are still debated. We aimed to evaluate associations between SSC, cognition and behavior at 5 years among chil...
Global hospital-based disease management of acute diverticulitis: a prospective, international cohort study [0.03%]
基于医院的急性憩室炎疾病管理的全球性前瞻性国际队列研究
DAMASCUS Collaborative
DAMASCUS Collaborative
Background: Acute diverticulitis is a common condition that can be a surgical emergency. Its prevalence is increasing worldwide, however optimal management remains unclear. This study aimed to determine current practice a...
Exploring the temporal relationship between stigma, disease manifestations, and health outcomes in post COVID-19 condition: a longitudinal descriptive study [0.03%]
探索新冠后症状综合症患者污名、疾病表现和健康结果之间的时序关系：纵向描述性研究
Ronald W Damant,Liam Rourke,Grace Y Lam et al.
Ronald W Damant et al.
Background: Stigma is defined as a deeply discrediting attribute. Post COVID-19 Condition (PCC) is now recognized to be a source of health-related stigma and discrimination capable of negatively impacting the well-being o...
Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study [0.03%]
一种多任务深度学习系统在MRI膝关节九大类常见病变分类中的开发与应用：一项大规模、多中心、分步验证研究
Zhuoyao Xie,Zelin Qiu,Yanwen Li et al.
Zhuoyao Xie et al.
Background: A comprehensive MRI-based assessment of multiple knee abnormalities is essential for guiding treatment decisions. However, knee MRI interpretation is time-consuming and prone to errors. Our study aimed to deve...
Global transmission characteristics of mpox outbreaks: a systematic review and meta-analysis [0.03%]
全球猴痘疫情传播特征的系统回顾和荟萃分析
Shunzhe Wu,Jie Deng,Min Du et al.
Shunzhe Wu et al.
Background: Mpox is a zoonotic infectious disease caused by the mpox virus. It was first reported in humans in the Democratic Republic of the Congo in 1970. Since then, it has mainly been prevalent in Central and West Afr...
Development and validation of an AI foundation model for endoscopic diagnosis of esophagogastric junction adenocarcinoma: a cohort and deep learning study [0.03%]
人工智能基础模型在内镜诊断食管胃交界部腺癌中的开发和验证：队列研究与深度学习研究
Yikun Ma,Bo Li,Ying Chen et al.
Yikun Ma et al.
Background: The early detection of esophagogastric junction adenocarcinoma (EGJA) is crucial for improving patient prognosis, yet its current diagnosis is highly operator-dependent. This paper aims to make the first attem...
Efficacy and safety of systemic therapies following progression on CDK4/6 inhibitors in patients with HR+/HER2- metastatic breast cancer: a systematic review and network meta-analysis [0.03%]
HR阳性/HER2阴性转移性乳腺癌患者对CDK4/6抑制剂治疗进展后系统性治疗的有效性和安全性：系统评价和网状Meta分析
Roberto Buonaiuto,Mario Fordellone,Aldo Caltavituro et al.
Roberto Buonaiuto et al.
Background: In the absence of head-to-head trials, optimal treatment sequencing following disease progression on a CDK4/6 inhibitor (CDK4/6i) combined with endocrine therapy (ET) in hormone receptor-positive, HER2-negativ...
Oesophageal cancer multi-disciplinary tool: a co-designed, externally validated, machine learning tool for oesophageal cancer decision making [0.03%]
多学科的食管癌决策支持工具：一种用于食管癌诊疗决策的机器学习模型
Navamayooran Thavanesan,Mohammad Naiseh,Miguel Terol et al.
Navamayooran Thavanesan et al.
Background: The oesophageal cancer (OC) multi-disciplinary team (MDT) operates under significant pressures, handling complex decision-making. Machine learning (ML) can learn complex decision-making paradigms to improve ef...
Using artificial intelligence and computer vision to detect and monitor unhealthy child-directed food and beverage marketing: a data-driven study [0.03%]
运用人工智能和计算机视觉检测和监测不健康的儿童食品和饮料营销：数据驱动研究
Guanlan Hu,Ofek Gross,Emily Ziraldo et al.
Guanlan Hu et al.
Background: Childhood obesity and diet-related noncommunicable diseases are urgent global public health challenges, driven in part by children's continued exposure to persuasive marketing of unhealthy foods and beverages....