| Impact of enhanced recovery after surgery and opioid-free anesthesia on opioid prescriptions at discharge from the hospital: a historical-prospective study D Brandal, MS Keller, C Lee, T Grogan, Y Fujimoto, Y Gricourt, T Yamada, ... Anesthesia & Analgesia 125 (5), 1784-1792, 2017 | 226 | 2017 |
| Distal airway function in symptomatic subjects with normal spirometry following World Trade Center dust exposure BW Oppenheimer, RM Goldring, ME Herberg, IS Hofer, PA Reyfman, ... Chest 132 (4), 1275-1282, 2007 | 179 | 2007 |
| Development and validation of a deep neural network model for prediction of postoperative in-hospital mortality CK Lee, I Hofer, E Gabel, P Baldi, M Cannesson Anesthesiology 129 (4), 649-662, 2018 | 169 | 2018 |
| An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data BL Hill, R Brown, E Gabel, N Rakocz, C Lee, M Cannesson, P Baldi, ... British journal of anaesthesia 123 (6), 877-886, 2019 | 73 | 2019 |
| Intraoperative clinical decision support for anesthesia: a narrative review of available systems BG Nair, E Gabel, I Hofer, HA Schwid, M Cannesson Anesthesia & Analgesia 124 (2), 603-617, 2017 | 67 | 2017 |
| A systematic approach to creation of a perioperative data warehouse IS Hofer, E Gabel, M Pfeffer, M Mahbouba, A Mahajan Anesthesia & Analgesia 122 (6), 1880-1884, 2016 | 66 | 2016 |
| BayesCCE: a Bayesian framework for estimating cell-type composition from DNA methylation without the need for methylation reference E Rahmani, R Schweiger, L Shenhav, T Wingert, I Hofer, E Gabel, E Eskin, ... Genome biology 19, 1-18, 2018 | 54 | 2018 |
| Association between anesthesiologist experience and mortality after orthotopic liver transplantation I Hofer, J Spivack, M Yaport, J Zerillo, DL Reich, D Wax, S DeMaria Jr Liver Transplantation 21 (1), 89-95, 2015 | 50 | 2015 |
| Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning BL Hill, N Rakocz, Á Rudas, JN Chiang, S Wang, I Hofer, M Cannesson, ... Scientific reports 11 (1), 15755, 2021 | 49 | 2021 |
| Development and validation of a deep neural network model to predict postoperative mortality, acute kidney injury, and reintubation using a single feature set IS Hofer, C Lee, E Gabel, P Baldi, M Cannesson NPJ digital medicine 3 (1), 58, 2020 | 43 | 2020 |
| Relationship among surgical volume, repair quality, and perioperative outcomes for repair of mitral insufficiency in a mitral valve reference center MM Weiner, I Hofer, HM Lin, JG Castillo, DH Adams, GW Fischer The Journal of Thoracic and Cardiovascular Surgery 148 (5), 2021-2026, 2014 | 42 | 2014 |
| Machine learning prediction of postoperative emergency department hospital readmission VV Mišić, E Gabel, I Hofer, K Rajaram, A Mahajan Anesthesiology 132 (5), 968-980, 2020 | 39 | 2020 |
| Realistically integrating machine learning into clinical practice: a road map of opportunities, challenges, and a potential future IS Hofer, M Burns, S Kendale, JP Wanderer Anesthesia & Analgesia 130 (5), 1115-1118, 2020 | 36 | 2020 |
| Development and validation of an interpretable neural network for prediction of postoperative in-hospital mortality CK Lee, M Samad, I Hofer, M Cannesson, P Baldi NPJ digital medicine 4 (1), 8, 2021 | 31 | 2021 |
| Simulation as a set-up for technical proficiency: can a virtual warm-up improve live fibre-optic intubation? ST Samuelson, G Burnett, AJ Sim, I Hofer, AD Weinberg, A Goldberg, ... BJA: British Journal of Anaesthesia 116 (3), 398-404, 2016 | 28 | 2016 |
| A visual analytics dashboard to summarize serial anesthesia records in pediatric radiation treatment O Nelson, B Sturgis, K Gilbert, E Henry, K Clegg, JM Tan, JO Wasey, ... Applied Clinical Informatics 10 (04), 563-569, 2019 | 21 | 2019 |
| Digital quality improvement approach reduces the need for rescue antiemetics in high-risk patients: a comparative effectiveness study using interrupted time series and … E Gabel, J Shin, I Hofer, T Grogan, K Ziv, J Hong, A Dhillon, J Moore, ... Anesthesia & Analgesia 128 (5), 867-876, 2019 | 20 | 2019 |
| Methylation risk scores are associated with a collection of phenotypes within electronic health record systems M Thompson, BL Hill, N Rakocz, JN Chiang, D Geschwind, ... npj Genomic Medicine 7 (1), 50, 2022 | 18 | 2022 |
| Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a … M Cannesson, I Hofer, J Rinehart, C Lee, K Subramaniam, P Baldi, ... BMJ open 9 (12), e031988, 2019 | 18 | 2019 |
| Perioperative temperature measurement considerations relevant to reporting requirements for national quality programs using data from anesthesia information management systems RH Epstein, F Dexter, IS Hofer, LI Rodriguez, ES Schwenk, JM Maga, ... Anesthesia & Analgesia 126 (2), 478-486, 2018 | 18 | 2018 |
