CRISP: A causal relationships-guided deep learning framework for advanced ICU mortality prediction [0.03%]
一种基于因果关系的深度学习重症监护病房死亡率预测框架
Linna Wang,Xinyu Guo,Haoyue Shi et al.
Linna Wang et al.
Background: Mortality prediction is critical in clinical care, particularly in intensive care units (ICUs), where early identification of high-risk patients can inform treatment decisions. While deep learning (DL) models ...
Lactate dehydrogenase to albumin ratio and poor prognosis after thrombolysis in ischemic stroke patients: developing a novel nomogram [0.03%]
乳酸脱氢酶与白蛋白比值在溶栓治疗缺血性卒中患者中的预后价值：建立预测不良预后的列线图模型
Xiao-Dan Zhang,Zong-Yong Zhang,Ming-Pei Zhao et al.
Xiao-Dan Zhang et al.
Background: Ischemic stroke (IS) is associated with high disability and mortality. This study aimed to identify the prognostic predictors and develop a nomogram for a prediction model for ischemic stroke patients after th...
Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study [0.03%]
运动外科和物理治疗临床决策中人工智能模型GPT-4与GPT-3.5的比较评价：横断面研究
Sönmez Saglam,Veysel Uludag,Zekeriya Okan Karaduman et al.
Sönmez Saglam et al.
Background: The integration of artificial intelligence (AI) in healthcare has rapidly expanded, particularly in clinical decision-making. Large language models (LLMs) such as GPT-4 and GPT-3.5 have shown potential in vari...
Towards interpretable sleep stage classification with a multi-stream fusion network [0.03%]
一种多流融合网络的可解释睡眠分期方法
Jingrui Chen,Xiaomao Fan,Ruiquan Ge et al.
Jingrui Chen et al.
Sleep stage classification is a significant measure in assessing sleep quality and diagnosing sleep disorders. Many researchers have investigated automatic sleep stage classification methods and achieved promising results. However, these me...
Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models [0.03%]
基于集成机器学习模型的提高疟疾诊断准确性的可解释人工智能方法
Olushina Olawale Awe,Peter Njoroge Mwangi,Samuel Kotva Goudoungou et al.
Olushina Olawale Awe et al.
Background: Malaria, an infectious disease caused by protozoan parasites belonging to the Plasmodium genus, remains a significant public health challenge, with African regions bearing the heaviest burden. Machine learning...
Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks [0.03%]
基于深度卷积神经网络的甲状腺良性结节微波消融疗效的超声影像预测研究
Enock Adjei Agyekum,Yu-Guo Wang,Eliasu Issaka et al.
Enock Adjei Agyekum et al.
Background: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomf...
Development of machine learning models to predict the risk of fungal infection following flexible ureteroscopy lithotripsy [0.03%]
基于机器学习的预测柔性输尿管镜碎石术后再发真菌感染风险模型的开发
Haofang Zhang,Changbao Xu,Chenge Hu et al.
Haofang Zhang et al.
Background: The flexible ureteroscopy lithotripsy (F-URL) is an important treatment for upper urinary tract stones. However, urolithiasis, surgical procedures, and catheter placement are risk factors for fungal infections...
MISTIC: a novel approach for metastasis classification in Italian electronic health records using transformers [0.03%]
MISTIC：一种使用变压器对意大利电子健康记录中转移性肿瘤进行分类的新方法
Livia Lilli,Mario Santoro,Valeria Masiello et al.
Livia Lilli et al.
Background: Analysis of Electronic Health Records (EHRs) is crucial in real-world evidence (RWE), especially in oncology, as it provides valuable insights into the complex nature of the disease. The implementation of adva...
Liang Wang,Yiqi Weng,Wenli Yu
Liang Wang
Background: Accurately predicting the depth of anesthesia is essential for ensuring patient safety and optimizing surgical outcomes. Traditional regression-based approaches often struggle to model the complex and dynamic ...
Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT [0.03%]
基于胸部CT的新冠肺炎严重程度预后模型的开发与多中心外部验证
Ine Dirks,Matías Nicolás Bossa,Abel Díaz Berenguer et al.
Ine Dirks et al.
Background: Risk stratification of COVID-19 patients can support therapeutic decisions, planning and resource allocation in the hospital. In times of high incidence, a prognostic model based on data efficiently retrieved ...