Desman, Jacob M.; Hong, Zhang-Wei; Sabounchi, Moein; Sawant, Ashwin S.; Gill, Jaskirat; Costa, Ana C.; Kumar, Gagan; Sharma, Rajeev; Gupta, Arpeta; Mccarthy, Paul; Nandwani, Veena; Powell, Doug; Carideo, Alexandra; Goodwin, Donnie; Ahmed, Sanam; Gidwani, Umesh; Levin, Matthew A.; Varghese, Robin; Filsoufi, Farzan; Freeman, Robert; Shetreat-Klein, Avniel; Charney, Alexander W.; Hofer, Ira; Chan, Lili; Reich, David; Kovatch, Patricia; Kohli-Seth, Roopa; Kraft, Monica; Agrawal, Pulkit; Kellum, John A.; Nadkarni, Girish N.

ORAKLE: Optimal Risk prediction for mAke30 in patients with sepsis associated AKI using deep LEarning

ORAKLE：使用深度学习对脓毒症相关性AKI患者进行MAKE30最优风险预测

CRITICAL CARE

IF9.3

2025-05-260

TEMPORAL SUBPHENOTYPING OF SEPSIS PATIENTS WITH AKI USING TRANSFORMER-BASED MACHINE LEARNING

基于Transformer的机器学习方法对伴有AKI的脓毒症患者进行时间亚表型分析

CRITICAL CARE MEDICINE

IF6

2025-01-300

PRE

Machine learning derived serum creatinine trajectories in acute kidney injury in critically ill patients with sepsis

重症脓毒症患者急性肾损伤的机器学习衍生的血清肌酐轨迹

CRITICAL CARE

IF9.3

2024-05-101

OAAI

The COVID-19 Tracheostomy Experience at a Large Academic Medical Center in New York during the First Year

JOURNAL OF CLINICAL MEDICINE

IF2.9

2024-04-070

OAAI

Real-Time Machine Learning Alerts to Prevent Escalation of Care: A Nonrandomized Clustered Pragmatic Clinical Trial

CRITICAL CARE MEDICINE

IF6

2024-02-211

PRE

Bayesian methods: a potential path forward for sepsis trials (vol 27, 432, 2023)

贝叶斯方法: 脓毒症试验的潜在路径 (第27卷，432，2023)

CRITICAL CARE

IF9.3

2024-01-030

OAAI

MACHINE LEARNING-GUIDED EARLY PREDICTION OF PERSISTENT ACUTE KIDNEY INJURY AFTER CARDIAC SURGERY

机器学习指导下的心脏手术后持续性急性肾损伤早期预测

CRITICAL CARE MEDICINE

IF6

2023-12-140

MACHINE LEARNING-GUIDED SUBPHENOTYPING OF CRITICALLY ILL PATIENTS AFTER CARDIAC SURGERY

机器学习指导的心脏手术后危重患者亚表型分类

CRITICAL CARE MEDICINE

IF6

2023-12-140

BEYOND AKI STAGING: IMPORTANCE OF TRAJECTORY OF SERUM CREATININE IN SEPSIS-ASSOCIATED AKI

超越AKI分期：脓毒症相关AKI中血清肌酐轨迹的重要性

CRITICAL CARE MEDICINE

IF6

2023-12-140

Bayesian methods: a potential path forward for sepsis trials

贝叶斯方法: 脓毒症试验的潜在路径

CRITICAL CARE

IF9.3

2023-11-082

OAAI

Atrial Fibrillation in Patients Hospitalized With COVID-19

JACC-CLINICAL ELECTROPHYSIOLOGY

IF7.7

2021-09-0198

OAAI

Musikantow, Daniel R.; Turagam, Mohit K.; Sartori, Samantha; Chu, Edward; Kawamura, Iwanari; Shivamurthy, Poojita; Bokhari, Mahmoud; Oates, Connor; Zhang, Chi; Pumill, Christopher; Malick, Waqas; Hashemi, Helen; Ruiz-Maya, Tania; Hadley, Michael B.; Gandhi, Jonathan; Sperling, Dylan; Whang, William; Koruth, Jacob S.; Langan, Marie-Noelle; Sofi, Aamir; Gomes, Anthony; Harcum, Stephanie; Cammack, Sam; Ellsworth, Betsy; Dukkipati, Srinivas R.; Bassily-Marcus, Adel; Kohli-Seth, Roopa; Goldman, Martin E.; Halperin, Jonathan L.; Fuster, Valentin; Reddy, Vivek Y.

Adapting a vascular access service (VAS) to meet the needs of the COVID-19 pandemic

AMERICAN JOURNAL OF INFECTION CONTROL

IF2.4

2021-04-012

OAAI

Postintensive Care Syndrome in Survivors of Critical Illness Related to Coronavirus Disease 2019: Cohort Study From a New York City Critical Care Recovery Clinic*

CRITICAL CARE MEDICINE

IF6

2021-03-1795