| Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction SS Al-Zaiti, C Martin-Gill, JK Zègre-Hemsey, Z Bouzid, Z Faramand, ... Nature Medicine 29 (7), 1804-1813, 2023 | 51 | 2023 |
| Just-in-time training for high-risk low-volume therapies: an approach to ensure patient safety S Helman, AJ Lisanti, A Adams, C Field, KF Davis Journal of nursing care quality 31 (1), 33-39, 2016 | 24 | 2016 |
| Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside S Helman, MA Terry, T Pellathy, A Williams, A Dubrawski, G Clermont, ... International journal of medical informatics 159, 104643, 2022 | 16 | 2022 |
| The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review SM Helman, EA Herrup, AB Christopher, SS Al-Zaiti Cardiology in the Young 31 (11), 1770-1780, 2021 | 14 | 2021 |
| Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome Z Faramand, S Helman, A Ahmad, C Martin-Gill, C Callaway, S Saba, ... Journal of electrocardiology 69, 45-50, 2021 | 11 | 2021 |
| Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome Z Bouzid, Z Faramand, RE Gregg, S Helman, C Martin-Gill, S Saba, ... Journal of electrocardiology 69, 31-37, 2021 | 11 | 2021 |
| Implementation of a screening, brief intervention, and referral to treatment program using the electronic medical record in a pediatric trauma center C McKenna, B Gaines, C Hatfield, S Helman, L Meyer, C Rennick, ... Journal of Trauma Nursing| JTN 20 (1), 16-23, 2013 | 9 | 2013 |
| Developmental care pathway for hospitalised infants with CHD: on behalf of the Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac … AJ Lisanti, DJ Vittner, J Peterson, AH Van Bergen, TA Miller, EE Gordon, ... Cardiology in the Young 33 (12), 2521-2538, 2023 | 6 | 2023 |
| Holding and mobility of pediatric patients with transthoracic intracardiac catheters AJ Lisanti, S Helman, A Sorbello, J Fitzgerald, A D’Amato, X Zhang, ... Critical care nurse 40 (4), 16-24, 2020 | 6 | 2020 |
| Nursing practice with transthoracic intracardiac catheters in children: International benchmarking study AJ Lisanti, J Fitzgerald, S Helman, S Dean, A Sorbello, H Griffis American Journal of Critical Care 28 (3), 174-181, 2019 | 5 | 2019 |
| Reducing ischemic injury from indwelling peripheral arterial catheters in a pediatric cardiac ICU: a quality improvement initiative AC Adler, S Helman, C Field, JJ Stellar, LA Brown, N Omensetter, ... Pediatric Critical Care Medicine 19 (3), 228-236, 2018 | 4 | 2018 |
| Engaging multidisciplinary clinical users in the design of an artificial intelligence–powered graphical user interface for intensive care unit instability decision support S Helman, MA Terry, T Pellathy, M Hravnak, E George, S Al-Zaiti, ... Applied Clinical Informatics 14 (04), 789-802, 2023 | 3 | 2023 |
| Your neighborhood matters: A machine‐learning approach to the geospatial and social determinants of health in 9‐1‐1 activated chest pain Z Faramand, M Alrawashdeh, S Helman, Z Bouzid, C Martin‐Gill, ... Research in nursing & health 45 (2), 230-239, 2022 | 2 | 2022 |
| Quality over quantity: standardization of pediatric HeartWare ventricular assist device dressing changes LA Difusco, SM Helman ASAIO Journal 64 (6), e181-e186, 2018 | 1 | 2018 |
| ECG-SMART-NET: A Deep Learning Architecture for Precise ECG Diagnosis of Occlusion Myocardial Infarction NT Riek, M Akcakaya, Z Bouzid, T Gokhale, S Helman, K Kraevsky-Philips, ... arXiv preprint arXiv:2405.09567, 2024 | | 2024 |
| Significant Complications and Predictors Associated with Persistent Hypothermia after Neonatal Cardiopulmonary Bypass Surgery S Helman University of Pittsburgh, 2023 | | 2023 |
| Developmental Care Pathway for Hospitalized Infants with Congenital Heart Disease: on behalf of the Cardiac Newborn Neuroprotective Network, a Special Interest Group of the … AJ Lisanti, DJ Vittner, J Peterson, AH Van Bergen, TA Miller, EE Gordon, ... Cardiology in the young 33 (12), 2521, 2023 | | 2023 |
| Machine Learning for the ECG Diagnosis and Risk Stratification of Occlusion Myocardial Infarction at First Medical Contact S Al-Zaiti, C Martin-Gill, J Zègre-Hemsey, Z Bouzid, Z Faramand, ... Research Square, 2023 | | 2023 |
| Prediction of Hypovolemic Instability in Normal Volunteer Blood Donors Using Machine Learning JH Yoon, C Gao, J Kim, JH Kim, T Lagattuta, S Helman, M Hravnak, ... A41. SEPSIS/SHOCK, A1475-A1475, 2022 | | 2022 |
| 556: USER-ENGAGED DESIGN OF A GRAPHICAL USER INTERFACE FOR INSTABILITY DECISION SUPPORT IN THE ICU S Helman, MA Terry, M Hravnak, P Tiffany, B George, M Pinsky, S Al-Zaiti, ... Critical Care Medicine 50 (1), 269, 2022 | | 2022 |
