Effectiveness of ChatGPT for Clinical Scenario Generation: A Qualitative Study [0.03%]
ChatGPT在临床情景生成方面的有效性：定性研究
Faezeh Ghaffari,Mostafa Langarizadeh,Ehsan Nabovati et al.
Faezeh Ghaffari et al.
Introduction: A growing area is the use of ChatGPT in simulation-based learning, a widely recognized methodology in medical education. This study aimed to evaluate ChatGPT's ability to generate realistic simulation scenar...
ChatGPT-o1 Preview Outperforms ChatGPT-4 as a Diagnostic Support Tool for Ankle Pain Triage in Emergency Settings [0.03%]
预览版ChatGPT-o1在急诊环境下作为踝部疼痛分诊的诊断支持工具优于ChatGPT-4
Pooya Hosseini-Monfared,Shayan Amiri,Alireza Mirahmadi et al.
Pooya Hosseini-Monfared et al.
Introduction: ChatGPT, a general-purpose language model, is not specifically optimized for medical applications. This study aimed to assess the performance of ChatGPT-4 and o1-preview in generating differential diagnoses ...
An Ensemble Machine Learning Model for Early Prediction of Vancomycin-Induced Acute Kidney Injury in ICU Patients [0.03%]
一种针对ICU患者万古霉素引起的急性肾损伤的早期预测集成机器学习模型
Faezeh Aghamirzaei,Ahmad Ali Abin,Farzaneh Futuhi
Faezeh Aghamirzaei
Introduction: Acute Kidney Injury (AKI) is a severe complication of vancomycin treatment due to its nephrotoxic effects. However, research on predicting AKI in this high-risk group remains limited. This study presents a s...
Predicting the Presence of Traumatic Chest Injuries Using Machine Learning Algorithm [0.03%]
基于机器学习算法预测胸部创伤性疾病
Mohammadhossein Vazirizadeh-Mahabadi,Amir Ghaffari Jolfayi,Mostafa Hosseini et al.
Mohammadhossein Vazirizadeh-Mahabadi et al.
Introduction: Various tools have been developed to determine the priority of radiography in trauma patients. This study aimed to investigate the role of machine learning models in predicting chest injuries following multi...
Predicting the Number of Consultations by Emergency Medical Teams During Disasters Using a Constant Attenuation Model: Analyzing the Data of 6 Disasters in Japan and Mozambique Between 2016-2020 [0.03%]
利用常数衰减模型预测灾害中急诊医疗队的咨询人数：日本和莫桑比克六次灾害（2016-2020）数据的分析
Takahito Yoshida,Tomohito Hayashi,Odgerel Chimed-Ochir et al.
Takahito Yoshida et al.
Introduction: Predicting the number of emergency medical team (EMT) consultations that are needed following a natural or man-made disaster can help improve decisions regarding the dispatch and withdrawal of these teams. T...
Predicting the Need for Tertiary Trauma Care Using a Multivariable Model: A 4-Year Retrospective Cohort Study [0.03%]
基于多变量模型预测三级创伤治疗需求的4年回顾队列研究
Piraya Vichiensanth,Kantawat Leepayakhun,Chaiyaporn Yuksen et al.
Piraya Vichiensanth et al.
Introduction: Delays in accessing an appropriate level of care can lead to significant morbidity or even mortality of trauma patients. This study aimed to develop a simplified prehospital predictive model to determine the...
P-ROSC, UB-ROSC, and RACA Scores in Predicting the Return of Spontaneous Circulation in Out-of-hospital Cardiac Arrest: A Retrospective Cohort [0.03%]
预测院外心脏骤停患者自主循环恢复的P-ROSC、UB-ROSC和RACA评分：回顾性队列研究
Tanakorn Janbavonkij,Chaiyaporn Yuksen,Kasamon Aramvanitch et al.
Tanakorn Janbavonkij et al.
Introduction: Prehospital Return of Spontaneous Circulation (P-ROSC), Utstein-Based Return of Spontaneous Circulation (UB-ROSC), and Return of Spontaneous Circulation After Cardiac Arrest (RACA) scores have been developed...
Predictive Factors of Length of Stay in Intensive Care Unit after Coronary Artery Bypass Graft Surgery based on Machine Learning Methods [0.03%]
基于机器学习方法的心脏搭桥手术后重症监护时间预测因素分析
Alireza Jafarkhani,Behzad Imani,Soheila Saeedi et al.
Alireza Jafarkhani et al.
Introduction: Coronary artery bypass grafting (CABG) surgery requires an extended length of stay (LOS) in the intensive care unit (ICU). This study aimed to predict the factors affecting LOS in the ICU after CABG surgery ...
Effects of Emergency Medical Service Response Time on Survival Rate of Out-of-Hospital Cardiac Arrest Patients: a 5-Year Retrospective Study [0.03%]
影响院外心脏骤停患者生存率的紧急医疗服务反应时间：一项为期五年的回顾性研究
Siriporn Damdin,Satariya Trakulsrichai,Chaiyaporn Yuksen et al.
Siriporn Damdin et al.
Introduction: Emergency medical service (EMS) response time is a critical factor in managements of out-of-hospital cardiac arrest (OHCA) cases. This study aimed to investigate the effects of EMS response time on survival ...
Diosgenin Ameliorates Cardiac Function following Myocardial Ischemia Through Angiogenic and Anti-Fibrotic Properties; An Experimental Study [0.03%]
薯蓣皂苷通过促血管生成和抗纤维化改善心肌缺血后的心脏功能：一项实验研究
Kamran Rakhshan,Ali Mohammadkhanizadeh,Mahdi Saberi Pirouz et al.
Kamran Rakhshan et al.
Introduction: Angiogenesis through restoration of blood supply to the ischemic myocardium is a pivotal process that contributes to cardiac repair and leads to improvement of myocardial function. This study was conducted t...