Machine Learning-Based Interpretable Screening for Osteoporosis in Tuberculosis Spondylitis Patients Using Blood Test Data: Development and External Validation of a Novel Web-Based Risk Calculator with Explainable Artificial Intelligence (XAI) [0.03%]
基于机器学习的解释性筛查：使用血液检测数据对结核脊柱炎患者的骨质疏松症进行筛查的发展和外部验证，一种新型网络风险计算器及其可解释的人工智能(XAI)
Parhat Yasin,Liwen Ding,Mardan Mamat et al.
Parhat Yasin et al.
Background: Tuberculosis spondylitis (TS), also known as Pott's disease, is the most common destructive form of musculoskeletal tuberculosis and poses significant clinical challenges, particularly when complicated by oste...
Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis [0.03%]
基于机器学习的预测模型在膀胱根治术后尿道复发中的应用：多中心回顾性研究和更新的荟萃分析
Bo Fan,Luxin Zhang,Hepeng Cui et al.
Bo Fan et al.
Moreover, to benefit from the clinical implications of the predictive model, an easy-to-use risk calculator tool for UR was developed online ( https://zluxin.shinyapps.io/make_web/ ) based on the GBM model.
Meta-Analysis
Scientific reports. 2025 Jun 4;15(1):19573. DOI:10.1038/s41598-025-04893-6 2025
Development and Technical Validation of an Integrated Risk Calculator for Acute Coronary Syndrome Using ChatGPT-Assisted Coding [0.03%]
利用ChatGPT辅助编码的心肌梗死合并糖尿病患者一年内心血管不良事件的预测模型开发及验证
Musab Egaimi,Pierfrancesco Corvo,Hasan Al Houri et al.
Musab Egaimi et al.
Objective The objective of this study is to develop and technically validate an integrated ACS risk calculator that streamlines the computation of TIMI, GRACE, and Mehran scores while demonstrating the utility of AI-assisted coding in clinical applications....Conclusion This study validates an integrated ACS risk calculator that unifies three established models within a single digital tool. It enhances workflow efficiency and demonstrates the practical value of AI-assisted, clinician-led development in cardiovascular decision support.
Development and internal validation of a novel predictive model to guide an individualized risk assessment in prostate cancer patients [0.03%]
开发并进行内部验证，以指导前列腺癌患者个性化风险评估的新型预测模型
Fabrizio Di Maida,Luca Lambertini,Antonio Andrea Grosso et al.
Fabrizio Di Maida et al.
Introduction and objectives: To provide a risk-adapted strategy to manage prostate cancer (PCa) patients eligible for curative surgery by developing an individualized risk calculator to predict oncologic outcomes.
A multi-site study of clinician perspectives in the lifecycle of an algorithmic risk prediction tool [0.03%]
多站点临床医生视角算法风险预测工具生命周期研究
Rita Dexter,Kristin Kostick-Quenet,Jennifer Blumenthal-Barby
Rita Dexter
In this paper, we present data from a multi-site, 5-year study focused on the development and deployment of an algorithmic risk calculator (HeartMate 3 Risk Score) into a validated and efficacy tested clinical decision support system (CDSS) for patients and clinicians engaging in shared decision making
The Fibrosis-4 Index (FIB-4) correlates with cardiovascular risk and insulin resistance in patients with rheumatoid arthritis [0.03%]
肝纤维化-4指数（FIB-4）与类风湿关节炎患者的动脉粥样硬化和胰岛素抵抗相关性研究
Iván Ferraz-Amaro,Elena Heras-Recuero,Antonia de Vera-González et al.
Iván Ferraz-Amaro et al.
FIB-4 was significantly associated with higher values of the cardiovascular risk calculator SCORE2 but not with carotid atherosclerosis. It was also significantly related to insulin resistance and metabolic syndrome.
Soluble receptor for advanced glycation end products and its role in cardiovascular risk assessment in hyperglycemia - A study in North India [0.03%]
可溶性晚期糖基化终产物受体在高血糖心血管风险评估中的作用-北印度的一项研究
Aparna Gupta,Parul Goyal,Smita Roy et al.
Aparna Gupta et al.
Using online American Heart Association Atherosclerotic CVD (AHA ASCVD) risk calculator and guidelines, patients were classified into "Low" and "High" risk categories. Serum sRAGE was assayed using sandwich ELISA technology.
Identifying individuals at clinical high risk for psychosis using a battery of tasks sensitive to symptom mechanisms [0.03%]
利用一系列针对症状机制的任务识别临床精神病高危个体
Trevor Williams,Jim Gold,James Waltz et al.
Trevor Williams et al.
Tasks also predicted psychosis risk calculator scores (Adjusted R 2 = .12), with the two unique predictors being positive symptom task variables associated with updating beliefs regarding environmental volatility.
Effect on short-term outcomes of the COVID-19 pandemic following laparoscopic distal gastrectomy and low anterior resection for gastric and rectal cancer: A retrospective study using the Japanese National Clinical Database, 2018-2022 [0.03%]
基于日本全国临床数据库的一项回顾性研究：2018-2022年期间COVID-19大流行对胃癌和直肠癌患者行远端胃切除术和低位前切术短期结局的影响
Masafumi Inomata,Hideki Endo,Tomonori Akagi et al.
Masafumi Inomata et al.
The numbers of LDG and LLAR were obtained, and morbidity and mortality rates were evaluated using a standardized morbidity/mortality ratio (SMR), i.e. the ratio of the observed number of incidences to expected number of incidences calculated by the risk calculator previously developed by the NCD.
ACS NSQIP Risk Calculator Performance Across Multiple Domains of Operative Risk and Risk-associated Features [0.03%]
美国外科医师协会国家手术 QUALITY 改进计划风险计算器在多种手术风险和相关特征领域的表现
Mark E Cohen,Yaoming Liu,Bruce L Hall et al.
Mark E Cohen et al.
Objective: To assess the accuracy of the ACS NSQIP Risk Calculator (RC) when applied to subsets of high-risk patients. Background: The ...
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