| COVID-19: neonatal–perinatal perspectives A Barrero-Castillero, KS Beam, LB Bernardini, EGC Ramos, ... Journal of Perinatology 41 (5), 940-951, 2021 | 118 | 2021 |
| A systematic review of randomized controlled trials for the prevention of bronchopulmonary dysplasia in infants KS Beam, S Aliaga, SK Ahlfeld, M Cohen-Wolkowiez, PB Smith, ... Journal of perinatology 34 (9), 705-710, 2014 | 107 | 2014 |
| Early postnatal illness severity scores predict neurodevelopmental impairments at 10 years of age in children born extremely preterm KK Wells L, Dammann O, Allred E, Dammann C, Beam KS, Joseph R, O’Shea M ... Journal of Perinatology, 2017 | 34 | 2017 |
| Artificial intelligence in the neonatal intensive care unit: the time is now K Beam, P Sharma, P Levy, AL Beam Journal of Perinatology 44 (1), 131-135, 2024 | 25 | 2024 |
| Antecedents and outcomes of hypothermia at admission to the neonatal intensive care unit C Elbaum, KS Beam, O Dammann, CEL Dammann The Journal of Maternal-Fetal & Neonatal Medicine 34 (1), 66-71, 2021 | 23 | 2021 |
| Performance of a large language model on practice questions for the neonatal board examination K Beam, P Sharma, B Kumar, C Wang, D Brodsky, CR Martin, A Beam JAMA pediatrics 177 (9), 977-979, 2023 | 21 | 2023 |
| Specificity of International Classification of Diseases codes for bronchopulmonary dysplasia: an investigation using electronic health record data and a large insurance database KS Beam, M Lee, K Hirst, A Beam, RB Parad Journal of Perinatology 41 (4), 764-771, 2021 | 20 | 2021 |
| Computerized physician order entry in the neonatal intensive care unit: a narrative review JB York, MZ Cardoso, DS Azuma, KS Beam, GG Binney Jr, SN Weingart Applied Clinical Informatics 10 (03), 487-494, 2019 | 18 | 2019 |
| Predictors of positive cerebrospinal fluid cultures in infants with bacteremia KS Beam, MM Laughon, CP Hornik, M Cohen-Wolkowiez, RH Clark, ... The Pediatric infectious disease journal 33 (4), 360-365, 2014 | 17 | 2014 |
| Examining perceptions of computerized physician order entry in a neonatal intensive care unit KS Beam, M Cardoso, M Sweeney, G Binney, SN Weingart Applied Clinical Informatics 8 (02), 337-347, 2017 | 16 | 2017 |
| Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities BA Sullivan, K Beam, ZA Vesoulis, KB Aziz, AN Husain, LA Knake, ... Journal of Perinatology 44 (1), 1-11, 2024 | 15 | 2024 |
| Prediction of extubation failure among low birthweight neonates using machine learning A Natarajan, G Lam, J Liu, AL Beam, KS Beam, JC Levin Journal of Perinatology 43 (2), 209-214, 2023 | 14 | 2023 |
| Health-related qualities of life in school-aged children with bronchopulmonary dysplasia G Sierra, JP Liu, I Ith, D Gudur, D Cunningham, SE Dahlberg, K Beam, ... The Journal of pediatrics 261, 113548, 2023 | 5 | 2023 |
| Performance of a Large Language Model on Practice Questions for the Neonatal Board Examination. JAMA Pediatr e232373 K Beam, P Sharma, B Kumar, C Wang, D Brodsky, CR Martin, A Beam | 5 | 2023 |
| PD (AI): the role of artificial intelligence in the management of patent ductus arteriosus P Sharma, K Beam, P Levy, AL Beam Journal of Perinatology 43 (2), 257-258, 2023 | 3 | 2023 |
| Machine learning: remember the fundamentals KS Beam, JAF Zupancic Pediatric Research 93 (2), 291-292, 2023 | 3 | 2023 |
| Assessment of the clinical knowledge of ChatGPT-4 in neonatal-perinatal medicine: a comparative analysis with ChatGPT-3.5 P Sharma, G Luo, C Wang, D Brodsky, CR Martin, A Beam, K Beam Journal of Perinatology 44 (9), 1365-1366, 2024 | 2 | 2024 |
| National needs assessment of utilization of common newborn clinical decision support tools K Beam, C Wang, A Beam, R Clark, V Tolia, K Ahmad American Journal of Perinatology 29, 2023 | 2 | 2023 |
| AI models in clinical neonatology: a review of modeling approaches and a consensus proposal for standardized reporting of model performance A Husain, L Knake, B Sullivan, J Barry, K Beam, E Holmes, T Hooven, ... Pediatric research, 1-11, 2024 | 1 | 2024 |
| NeoCLIP: A Self-Supervised Foundation Model for the Interpretation of Neonatal Radiographs Y Huang, P Sharma, A Palepu, N Greenbaum, A Beam, K Beam medRxiv, 2024.12. 03.24318410, 2024 | | 2024 |
