Clinical Risk Computation by Large Language Models Using Validated Risk Scores [0.03%]
大型语言模型使用经验证的风险评分进行临床风险计算
Kaan Kara,Tuba Gunel
Kaan Kara
Recent advances in artificial intelligence have propelled Large Language Models (LLMs) in natural language understanding, enabling new healthcare applications. While LLMs can analyze health data, directly predicting patient risk scores can ...
A Pretraining Approach for Small-sample Training Employing Radiographs (PASTER): a Multimodal Transformer Trained by Chest Radiography and Free-text Reports [0.03%]
一种使用小样本放射图像进行预训练的方法（PASTER: 使用胸部X光片和自由文本报告的多模态变压器预训练方法）
Kai-Chieh Chen,Matthew Kuo,Chun-Ho Lee et al.
Kai-Chieh Chen et al.
While deep convolutional neural networks (DCNNs) have achieved remarkable performance in chest X-ray interpretation, their success typically depends on access to large-scale, expertly annotated datasets. However, collecting such data in rea...
Enhancing Patient Identification Accuracy in Shared Child Health Records: a Hybrid Approach for the Lao Language Context [0.03%]
老语环境下的共享儿童健康记录患者识别准确性的提升：混合方法研究
Thepphouthone Sorsavanh,Chang Liu,Goshiro Yamamoto et al.
Thepphouthone Sorsavanh et al.
The Shared Child Health Record (SCHR) project in Lao People's Democratic Republic (PDR) aims to enhance pediatric health care services and health outcomes by enabling data exchange between health care systems. However, persistent challenges...
Automated Resectability Classification of Pancreatic Cancer CT Reports with Privacy-Preserving Open-Weight Large Language Models: A Multicenter Study [0.03%]
基于隐私保护的开放权重大型语言模型自动化胰腺癌CT报告可切除性分类的多中心研究
Jeong Hyun Lee,Ji Hye Min,Kyowon Gu et al.
Jeong Hyun Lee et al.
To evaluate the effectiveness of open-weight large language models (LLMs) in extracting key radiological features and determining National Comprehensive Cancer Network (NCCN) resectability status from free-text radiology reports for pancrea...
Multicenter Study
Journal of medical systems. 2025 Sep 24;49(1):118. DOI:10.1007/s10916-025-02248-2 2025
Integrating Pediatric Anesthesia Sustainability Metrics into Native Electronic Health Records: A Clinical Informatics Approach [0.03%]
基于临床信息学的儿科麻醉可持续性指标融入本土电子健康记录的方法研究
Mandy Lam,Ashley Wu,Karna Patel et al.
Mandy Lam et al.
The growing emphasis on sustainability in healthcare has highlighted anesthetic gases as notable contrib utors to the sector's greenhouse gas emissions. While adult anesthesia practices have increasingly adopted mitigation strategies, such ...
Social Network Analysis of Secure Text Messaging Metadata During Clinical Deterioration in an Inpatient Children's Hospital Setting [0.03%]
住院儿童医院环境中临床病情恶化期间安全文本消息元数据的社会网络分析
Andrew Harold Smith,Brant Tudor,Vishnu Mohan et al.
Andrew Harold Smith et al.
Mitigating clinical deterioration relies upon recognition (afferent limb) and interventions (efferent limb) by a healthcare team. Healthcare provider (HP) communication by text messaging plays a role in facilitating both limbs in the inpati...
Large Language Models in Neurology Treatment Decision-Making: a Scoping Review [0.03%]
神经病学治疗决策中的大型语言模型：一项范围综述
Rushabh Shah,Fabrice Jotterand
Rushabh Shah
This scoping review evaluates the expanding role of large language models (LLMs) in neurology, an area drawing growing interest of researchers and clinicians alike. A substantial existing body of literature supports the efficacy of LLMs for...
Innovative Limitations and Prospective Recommendations on "Assessing the Efficiency of Non-Operating Room Anesthesia (NORA) Using Performance Boundaries" [0.03%]
“运用绩效边界评估非手术室麻醉(NORA)效率”的局限性与展望
Zilin Zhao,Fei Xu,Hejia Wan
Zilin Zhao
Bimodal ECG and PCG Cardiovascular Disease Detection: Exploring the Potential and Modality Contribution [0.03%]
双峰心电图和心音图心血管疾病检测：探索其潜力及模态贡献
Alessia Calzoni,Mattia Savardi,Marco Silvestri et al.
Alessia Calzoni et al.
Early detection of cardiovascular diseases (CVDs) is crucial for improving patient outcomes and alleviating healthcare burdens. Electrocardiograms (ECGs) and phonocardiograms (PCGs) offer low-cost, non-invasive, and easily integrable soluti...
Prediction Model of Intradialytic Hypertension in Hemodialysis Patients Based on Machine Learning [0.03%]
基于机器学习的血液透析患者透析中高血压预测模型
Yu Wang,Hongming Zhou,Qi Guo et al.
Yu Wang et al.
The escalating global burden of chronic kidney disease (CKD), particularly end-stage renal disease (ESRD), has intensified reliance on hemodialysis (HD), imposing substantial financial and operational burdens on healthcare systems and patie...