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

Transforming nephrology through artificial intelligence: a state-of-the-art roadmap for clinical integration

利用人工智能变革肾脏病学:临床整合的最新路线图

Cheungpasitporn, Wisit; Athavale, Ambarish; Ghazi, Lama; Kashani, Kianoush B; Colicchio, Tiago; Koyner, Jay L; Chen, Jin; Ix, Joachim H; Nadkarni, Girish; Neyra, Javier A

A common longitudinal intensive care unit data format (CLIF) for critical illness research

一种用于危重症研究的常用纵向重症监护病房数据格式(CLIF)

Rojas, Juan C; Lyons, Patrick G; Chhikara, Kaveri; Chaudhari, Vaishvik; Bhavani, Sivasubramanium V; Nour, Muna; Buell, Kevin G; Smith, Kevin D; Gao, Catherine A; Amagai, Saki; Mao, Chengsheng; Luo, Yuan; Barker, Anna K; Nuppnau, Mark; Hermsen, Michael; Koyner, Jay L; Beck, Haley; Baccile, Rachel; Liao, Zewei; Carey, Kyle A; Park-Egan, Brenna; Han, Xuan; Ortiz, Alexander C; Schmid, Benjamin E; Weissman, Gary E; Hochberg, Chad H; Ingraham, Nicholas E; Parker, William F

Correction: A common longitudinal intensive care unit data format (CLIF) for critical illness research

更正:重症监护病房常用纵向数据格式 (CLIF)

Rojas, Juan C; Lyons, Patrick G; Chhikara, Kaveri; Chaudhari, Vaishvik; Bhavani, Sivasubramanium V; Nour, Muna; Buell, Kevin G; Smith, Kevin D; Gao, Catherine A; Amagai, Saki; Mao, Chengsheng; Luo, Yuan; Barker, Anna K; Nuppnau, Mark; Hermsen, Michael; Koyner, Jay L; Beck, Haley; Baccile, Rachel; Liao, Zewei; Carey, Kyle A; Park-Egan, Brenna; Han, Xuan; Ortiz, Alexander C; Schmid, Benjamin E; Weissman, Gary E; Hochberg, Chad H; Ingraham, Nicholas E; Parker, William F

Can we use artificial intelligence to better treat acute kidney injury?

我们能否利用人工智能更好地治疗急性肾损伤?

De Vlieger, Greet; Koyner, Jay L; Ostermann, Marlies

Preventing acute kidney injury and its longer-term impact in the critically ill

预防危重病人急性肾损伤及其长期影响

Zarbock, Alexander; Forni, Lui; Koyner, Jay L; Gómez, Hernando; Pannu, Neesh; Ostermann, Marlies; Bellomo, Rinaldo; Kellum, John A; von Groote, Thilo

Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKI

多中心开发和验证用于预测中重度急性肾损伤的多模态深度学习模型

Koyner, Jay L; Martin, Jennie; Carey, Kyle A; Caskey, John; Edelson, Dana P; Mayampurath, Anoop; Dligach, Dmitriy; Afshar, Majid; Churpek, Matthew M

A Comprehensive Framework for Kidney Function Assessment: Summary of the National Institute of Diabetes and Digestive and Kidney Diseases Reimagining Kidney Function Assessment Workshop

肾功能评估综合框架:美国国立糖尿病、消化和肾脏疾病研究所“重塑肾功能评估研讨会”总结

Bjornstad, Petter; Narongkiatikhun, Phoom; Benzing, Thomas; Fuhrman, Dana Y; Inker, Lesley; Kestenbaum, Bryan; Koyner, Jay; Lemley, Kevin; Seegmiller, Jesse; Waikar, Sushrut S

Chimeric Antigen Receptor T-Cell Therapy in Dialysis-Dependent Patients With Multiple Myeloma: Insights From a 5-Case Series

嵌合抗原受体T细胞疗法治疗依赖透析的多发性骨髓瘤患者:来自5例病例系列的启示

Swamy, Varsha; Kelly, Kaitlin; Koyner, Jay L; Derman, Benjamin A; Bonilla, Marco

Effects of different blood flow rates on filter and circuit life in non-anticoagulation CRRT: Protocol for a three-arm, single-blind randomized controlled trial (the Flow-CRRT Study)

不同血流速度对非抗凝 CRRT 中滤器和回路寿命的影响:一项三臂单盲随机对照试验方案(Flow-CRRT 研究)

Liu, Caihong; Bu, Qiongxing; Wang, Fang; Wei, Wei; Huang, Yongxiu; Ren, Jinglei; Koyner, Jay L; Zhang, Ling; Zhao, Yuliang

Infections and mortality in ICU patients undergoing continuous renal replacement therapy: a retrospective cohort study

接受连续性肾脏替代治疗的ICU患者的感染和死亡率:一项回顾性队列研究

Quickfall, Danica; La, Ashley; Pisano, Jennifer; Costello, Patrick; Gunning, Samantha; Koyner, Jay L