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

Predicting kidney injury after cardiac surgery with cardio-pulmonary bypass using machine learning

利用机器学习预测体外循环心脏手术后肾损伤

Fliegenschmidt, Janis; Sasono, Gunung; Cabanillas Silva, Patricia; Meesseman, Laurent; Rezk, Mohamed; Dahlweid, Michael; Bergmann, Astrid; Hulde, Nikolai; von Dossow, Vera

Comparison of DeltaScan(®) and CAM-ICU for the Assessment of Postoperative Delirium in Patients Undergoing Cardiac Surgery and Cardiac Interventions: A Prospective Observational Pilot Study

DeltaScan® 与 CAM-ICU 在心脏手术和心脏介入治疗患者术后谵妄评估中的比较:一项前瞻性观察性试点研究

Bergmann, Astrid; Fliegenschmidt, Janis; Ruggeri, Silvia; Hulde, Nikolai; Middeke, Catharina; Bunge, Claudia; Preising, Maria; Hermes, Carsten; von Dossow, Vera

Advanced Haemodynamic Monitoring During Transfemoral Aortic Valve Replacement: A Prospective Pilot Study

经股动脉主动脉瓣置换术中高级血流动力学监测:一项前瞻性试点研究

Bergmann, Astrid; Woldt, Philip; Steins, Lena; Hulde, Nikolai; Fliegenschmidt, Janis; Piper, Cornelia; Rudolph, Tanja; von Dossow, Vera

Longitudinal Model Shifts of Machine Learning-Based Clinical Risk Prediction Models: Evaluation Study of Multiple Use Cases Across Different Hospitals

基于机器学习的临床风险预测模型的纵向模型转变:跨不同医院的多个用例评估研究

Cabanillas Silva, Patricia; Sun, Hong; Rezk, Mohamed; Roccaro-Waldmeyer, Diana M; Fliegenschmidt, Janis; Hulde, Nikolai; von Dossow, Vera; Meesseman, Laurent; Depraetere, Kristof; Stieg, Joerg; Szymanowsky, Ralph; Dahlweid, Fried-Michael

[Structured patient handover in high-risk areas : Evidence and recommendations for the practical implementation]

[高风险地区结构化患者交接:证据和实践实施建议]

Fliegenschmidt, J; Merkel, M J; von Dossow, V; Zwißler, B

Leveraging artificial intelligence for the management of postoperative delirium following cardiac surgery

利用人工智能管理心脏手术后的术后谵妄

Fliegenschmidt, Janis; Hulde, Nikolai; Gedinha Preising, Maria; Ruggeri, Silvia; Szymanowsky, Ralph; Meesseman, Laurent; Sun, Hong; Dahlweid, Michael; von Dossow, Vera