日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

In-hospital testing of NIVPredict - an AI tool for early prediction of non-invasive ventilation outcome in acute respiratory failure

院内测试 NIVPredict——一种用于早期预测急性呼吸衰竭患者无创通气预后的 AI 工具

期刊:Critical Care
影响因子:9.3
doi:10.1186/s13054-026-05894-1
Yu, Hang; Saffaran, Sina; Ali, Abdisamad; Henry, Catherine; Mustfa, Naveed; Thomas, Ajit; Rajhan, Ashwin; Isrhad, Sannaan; Weaver, Liam; Tonelli, Roberto; Menga, Luca S; Zhang, Qingchen; Samadi, Moein Einollahzadeh; Schuppert, Andreas; Laffey, John G; Camporota, Luigi; Esquinas, Antonio M; Grieco, Domenico L; Antonelli, Massimo; de Lima, Lucas Martins; Kawano-Dourado, Letícia; Maia, Israel S; Cavalcanti, Alexandre Biasi; Clini, Enrico; Scott, Timothy E; Bates, Declan G
发表日期：2026
文献求助 收藏

Machine learning models compared with current clinical indices to predict the outcome of high flow nasal cannula therapy in acute hypoxemic respiratory failure

将机器学习模型与现有临床指标进行比较，以预测高流量鼻导管治疗急性低氧性呼吸衰竭的疗效。

期刊:Critical Care
影响因子:9.3
doi:10.1186/s13054-025-05336-4
Yu, Hang; Saffaran, Sina; Tonelli, Roberto; Laffey, John G; Esquinas, Antonio M; de Lima, Lucas Martins; Kawano-Dourado, Letícia; Maia, Israel S; Cavalcanti, Alexandre Biasi; Clini, Enrico; Bates, Declan G
发表日期：2025
文献求助 收藏

Evaluating the effect of heart and respiratory rate measurement errors on the ability to predict the outcome of high flow nasal cannula therapy: a multi-centre study

评估心率和呼吸频率测量误差对预测高流量鼻导管治疗效果的影响：一项多中心研究

期刊:Critical Care
影响因子:9.3
doi:10.1186/s13054-025-05765-1
Yu, Hang; Saffaran, Sina; Tonelli, Roberto; Laffey, John G; Zhang, Qingchen; Esquinas, Antonio M; de Lima, Lucas Martins; Kawano-Dourado, Letícia; Maia, Israel S; Cavalcanti, Alexandre Biasi; Clini, Enrico; Bates, Declan G
发表日期：2025
文献求助 收藏

Digital Twins to Evaluate the Risk of Ventilator-Induced Lung Injury During Airway Pressure Release Ventilation Compared With Pressure-Controlled Ventilation

利用数字孪生技术评估气道压力释放通气与压力控制通气相比，呼吸机相关性肺损伤的风险

期刊:Critical Care Medicine
影响因子:6
doi:10.1097/CCM.0000000000006885
Joy, William; Albanese, Beatrice; Oakley, Diallo; Mistry, Sonal; Nikulina, Kateryna; Schuppert, Andreas; Marx, Gernot; Brook, Bindi S; Hardman, Jonathan G; Laffey, John G; Rose, Louise; Camporota, Luigi; Scott, Timothy E; Bates, Declan G; Saffaran, Sina
发表日期：2025
文献求助 收藏

Airway pressures generated by high flow nasal cannula in patients with acute hypoxemic respiratory failure: a computational study

高流量鼻导管在急性低氧性呼吸衰竭患者中产生的气道压力：一项计算研究

期刊:Respiratory Research
影响因子:5
doi:10.1186/s12931-025-03096-x
Shamohammadi, Hossein; Weaver, Liam; Saffaran, Sina; Tonelli, Roberto; Laviola, Marianna; Laffey, John G; Camporota, Luigi; Scott, Timothy E; Hardman, Jonathan G; Clini, Enrico; Bates, Declan G
发表日期：2025
文献求助 收藏

Digital twins suggest a mechanistic basis for differing responses to increased flow rates during high-flow nasal cannula therapy

数字孪生技术揭示了高流量鼻导管治疗期间，不同患者对流量增加的不同反应的机制基础。

期刊:Intensive Care Medicine Experimental
影响因子:3.1
doi:10.1186/s40635-025-00773-5
Shamohammadi, Hossein; Saffaran, Sina; Tonelli, Roberto; Chiavieri, Valentina; Grasselli, Giacomo; Clini, Enrico; Mauri, Tommaso; Bates, Declan G
发表日期：2025
文献求助 收藏

Evaluating Therapeutic Efficacy of Bamboo Salt Mouthwash Compared to Benzydamine Hydrochloride Mouthwash for Recurrent Aphthous Ulceration: A Double-blind Randomized Clinical Trial

竹盐漱口水与苯扎明盐酸盐漱口水治疗复发性阿弗他溃疡疗效的比较：一项双盲随机临床试验

期刊:Journal of Research in Pharmacy Practice
影响因子:0.7
doi:10.4103/jrpp.jrpp_38_25
Saberi, Zahra; Soltani, Rasool; Vatankhah, Zahra; Khouzani, Mehdi Saffaran
发表日期：2025
文献求助 收藏

Digital Twins of Acute Hypoxemic Respiratory Failure Patients Suggest a Mechanistic Basis for Success and Failure of Noninvasive Ventilation

急性低氧性呼吸衰竭患者的数字孪生模型揭示了无创通气成功与失败的机制基础

期刊:Critical Care Medicine
影响因子:6
doi:10.1097/CCM.0000000000006337
Weaver, Liam; Shamohammadi, Hossein; Saffaran, Sina; Tonelli, Roberto; Laviola, Marianna; Laffey, John G; Camporota, Luigi; Scott, Timothy E; Hardman, Jonathan G; Clini, Enrico; Bates, Declan G
发表日期：2024
文献求助 收藏

Computational Simulation of Virtual Patients Reduces Dataset Bias and Improves Machine Learning-Based Detection of ARDS from Noisy Heterogeneous ICU Datasets

虚拟病人的计算模拟可减少数据集偏差，并提高基于机器学习的、从噪声较大的异质性ICU数据集中检测ARDS的能力。

期刊:IEEE Open Journal of Engineering in Medicine and Biology
影响因子:2.9
doi:10.1109/OJEMB.2023.3243190
Sharafutdinov, Konstantin; Fritsch, Sebastian Johannes; Iravani, Mina; Ghalati, Pejman Farhadi; Saffaran, Sina; Bates, Declan G; Hardman, Jonathan G; Polzin, Richard; Mayer, Hannah; Marx, Gernot; Bickenbach, Johannes; Schuppert, Andreas
发表日期：2024
文献求助 收藏

Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome

开发基于人工智能的虚拟病人模型，用于急性呼吸窘迫综合征的实时诊断

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics13122098
Barakat, Chadi S; Sharafutdinov, Konstantin; Busch, Josefine; Saffaran, Sina; Bates, Declan G; Hardman, Jonathan G; Schuppert, Andreas; Brynjólfsson, Sigurður; Fritsch, Sebastian; Riedel, Morris
发表日期：2023
文献求助 收藏