Predicting neoadjuvant immunotherapy efficacy with machine learning models in non-small cell lung cancer: A systematic review and meta analysis [0.03%]
机器学习模型预测非小细胞肺癌新辅助免疫治疗疗效的系统评价和meta分析
Wenrui Liu,Zhenzhen Feng,Mingyao Zhang et al.
Wenrui Liu et al.
Background: The response of resectable non-small cell lung cancer (NSCLC) to neoadjuvant immunotherapy is heterogeneous. Machine learning can integrate multimodal data to construct predictive models, but the methodologica...
Improvements in EHR usability during eleven years: Cross-sectional surveys on specialist physicians' experiences in Finland [0.03%]
芬兰专科医师体验的电子健康记录使用性十一年的改进：横断面调查
Johanna Viitanen,Sara Nisula,Timo Tuovinen et al.
Johanna Viitanen et al.
Background: Usability not only impacts user satisfaction but also the efficiency and effectiveness of electronic health record (EHR) use. Moreover, poor EHR usability is associated with physician burnout and stress. Despi...
Agentic memory-augmented retrieval and evidence grounding for medical question-answering tasks [0.03%]
Shuyue Jia,Subhrangshu Bit,Varuna H Jasodanand et al.
Shuyue Jia et al.
Objective: To evaluate whether a tool-using agent-based system built on large language models (LLMs) outperforms standalone LLMs on medical question-answering tasks. ...
Corrigendum to "Advantages and challenges of tracking st-segment elevation myocardial infarction patients with a real-time dashboard: A single-centre experience" [Int. J. Med. Inform. 209 (2026) 106261] [0.03%]
“实时仪表板跟踪ST段抬高型心肌梗死患者的优势与挑战：单中心经验”一文的勘误表
Egidio de Mattia,Filippo Paoletti,Daniela Pedicino et al.
Egidio de Mattia et al.
Fuzzy logic in respiratory medicine: a systematic review of predictive and diagnostic applications [0.03%]
呼吸医学中模糊逻辑的预测和诊断应用的系统评价
Troy Kettle,Tricia M McKeever,Sherif Gonem et al.
Troy Kettle et al.
Background: There is increasing interest in the use of artificial intelligence (AI) to assist with respiratory diagnosis and risk prediction. Fuzzy logic is a form of AI that has the advantage of being transparent and int...
PRE2DUP-R, advanced, open science method to estimate drug use periods for pharmacoepidemiology [0.03%]
PRE2DUP-R：估计药物流行病学用药期的先进开放科学研究方法
Pia Vattulainen,Antti Tanskanen,Heidi Taipale
Pia Vattulainen
Introduction: Valid outcome estimation in pharmacoepidemiological studies requires accurate estimation of drug use periods. This estimation becomes more precise when person-specific drug use patterns are considered. PRE2D...
Guideline-based, but not error-free: Multilingual risks in AI-powered patient counseling on gallstones [0.03%]
基于指南但并非没有错误：AI赋能的多语种胆结石患者咨询风险
Olgun Erdem,Tolga Canbak,Aylin Acar et al.
Olgun Erdem et al.
Background: Patients increasingly use large language models (LLMs) for health information, yet the guideline concordance and safety of patient-facing outputs-particularly across languages-remain uncertain. We evaluated th...
Applying a statistical model-based AI method to identify prognostic factors for long-term cognitive decline in Alzheimer's disease: Evidence from pooled placebo data of four phase III trials [0.03%]
应用统计模型的AI方法识别阿尔茨海默病长期认知下降预后因素：四项III期临床试验联合安慰剂数据证据
Ryoichi Hanazawa,Hiroyuki Sato,Keisuke Suzuki et al.
Ryoichi Hanazawa et al.
Background: Heterogeneity in the long-term progression of Alzheimer's disease (AD) challenges the efficiency of clinical trials. Identifying long-term prognostic factors is critical for enhancing trial efficiency, althoug...
Success and failure of human-AI collaboration in clinical reasoning: An experimental study on challenging real-world cases [0.03%]
人机合作进行临床推理的成败：具有挑战性的现实案例中的实验研究
Kai Tzu-Iunn Ong,Junwon Seo,Hyojun Kim et al.
Kai Tzu-Iunn Ong et al.
Background: While conversational human-AI collaboration (HAC) using large language models (LLM) has shown potential to enhance clinical reasoning, its effectiveness in highly specialized and challenging clinical scenarios...
BackTracker: Machine learning to identify kinematic phenotypes for personalised exercise management in non-specific low back pain [0.03%]
基于机器学习的鉴别非特异性下腰痛个体运动特征的研究
Zebang Liu,Yulia Hicks,Liba Sheeran
Zebang Liu
Background: Low back pain (LBP) is a leading cause of global disability. Most cases are non-specific (NSLBP) and lack identifiable causes. Early active management is endorsed by clinical guidelines; however, exercises are...