| The Restrictive IV Fluid Trial in Severe Sepsis and Septic Shock (RIFTS): A Randomized Pilot Study KA Corl, M Prodromou, RC Merchant, I Gareen, S Marks, D Banerjee, ... Critical care medicine 47 (7), 951-959, 2019 | 105 | 2019 |
| Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid Responsiveness M Blaivas, L Blaivas, G Philips, R Merchant, M Levy, A Abbasi, C Eickhoff, ... Journal of Ultrasound in Medicine, 2020 | 22 | 2020 |
| Pneumonia initiates a tauopathy R Balczon, MT Lin, JY Lee, A Abbasi, P Renema, SB Voth, C Zhou, ... The FASEB Journal 35 (9), 2021 | 21 | 2021 |
| Performance of a 25% inferior vena cava collapsibility in detecting fluid responsiveness when assessed by novice versus expert physician sonologists KA Corl, N Azab, M Nayeemuddin, A Schick, T Lopardo, F Zeba, ... Journal of intensive care medicine 35 (12), 1520-1528, 2020 | 21 | 2020 |
| Change in carotid blood flow and carotid corrected flow time assessed by novice sonologists fails to determine fluid responsiveness in spontaneously breathing intensive care … A Abbasi, N Azab, M Nayeemuddin, A Schick, T Lopardo, GS Phillips, ... Ultrasound in Medicine & Biology 46 (10), 2659-2666, 2020 | 17 | 2020 |
| Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification A Ahmed, A Abbasi, C Eickhoff arXiv preprint arXiv:2103.13546, 2021 | 11 | 2021 |
| Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation A Abbasi, Y Karasu, C Li, NR Sodha, C Eickhoff, CE Ventetuolo Critical Care 24 (1), 1-3, 2020 | 11 | 2020 |
| Respiratory Variation in Carotid Artery Peak Systolic Velocity Is Unable to Predict Fluid Responsiveness in Spontaneously Breathing Critically Ill Patients When Assessed by … A Abbasi, M Nayeemuddin, N Azab, A Schick, T Lopardo, GS Phillips, ... Journal of Intensive Care Medicine, 0885066620934392, 2020 | 6 | 2020 |
| Examining the Role of Extracorporeal Membrane Oxygenation in Patients Following Suspected or Confirmed Suicide Attempts: A Case Series A Abbasi, C Devers, CS Muratore, C Harrington, CE Ventetuolo Journal of critical care 44, 445-449, 2018 | 6 | 2018 |
| 296 Development of an Artificial Intelligence Deep Learning Algorithm That Utilizes IVC Collapse to Predict Fluid Responsiveness M Blaivas, LN Blaivas, A Abbasi, G Philips, R Merchant, M Levy, K Corl Annals of Emergency Medicine 76 (4), S114, 2020 | 4 | 2020 |
| Patient-specific Characteristics Determine Success of Surgical Atrial Fibrillation Ablation in Patients with Persistent Atrial Fibrillation KN Hong, MJ Russo, MR Williams, A Abbasi, R Sorabella, TP Martens, ... HEART SURGERY FORUM 10 (6), 323, 2007 | 4 | 2007 |
| Prevalence of Deep Vein Thrombosis in Patients Supported With Extracorporeal Membrane Oxygenation ZGS Vazquez, NR Sodha, C Devers, CE Ventetuolo, A Abbasi ASAIO Journal, 2021 | 3 | 2021 |
| Adult Highlights From the Extracorporeal Life Support Organization Registry: 2017–2022 AS Rali, A Abbasi, PMA Alexander, MM Anders, DJ Arachchillage, ... ASAIO Journal 70 (1), 1-7, 2024 | 1 | 2024 |
| P4-73: Early clinical experience with surgical atrial fibrillation ablation using laser energy MR Williams, MJ Russo, KN Hong, A Abbasi, R Sorabella, VK Topkara, ... Heart Rhythm 3 (5), S242-S243, 2006 | 1 | 2006 |
| 218: VENOUS EXCESS ULTRASOUND SCORE (VEXUS) GUIDED FLUID MANAGEMENT IN SEPTIC SHOCK: A PILOT TRIAL B Innes, A Levinson, A Abbasi, C Allison, N Seidler, B Chen, K Corl Critical Care Medicine 52 (1), S84, 2024 | | 2024 |
| Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis A Kalra, P Bachina, BL Shou, J Hwang, M Barshay, S Kulkarni, I Sears, ... | | 2023 |
| Interpretable Machine Learning-Based Predictive Modeling of Patient Outcomes Following Cardiac Surgery A Abbasi, C Li, M Dekle, CA Bermudez, D Brodie, FW Selke, NR Sodha, ... The Journal of Thoracic and Cardiovascular Surgery, 2023 | | 2023 |
| Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest I Sears, A Garcia-Agundez, G Zerveas, W Rudman, L Mercurio, ... 2023 Computing in Cardiology (CinC) 50, 1-4, 2023 | | 2023 |
| 80: Transfer Learning Boosts Performance Of Deep Learning Model Prediction of In-Hospital Mortality In Patients Treated With Extracorporeal Membrane Oxygenation A Abbasi, I Sears, G Zerveas, N Sodha, C Ventetuolo, C Eickhoff ASAIO Journal 69 (Supplement 3), 13, 2023 | | 2023 |
| Time-series Machine Learning Approach to Sepsis Prediction in the Intensive Care Unit I Sears, MM Levy, CE Ventetuolo, C Eickhoff, A Abbasi D25. TOPICS IN SEPSIS AND SEPTIC SHOCK, A6377-A6377, 2023 | | 2023 |
Keith Corl MD, ScMVerified email at brown.edu
