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Kristyn Beam
Kristyn Beam
Neonatologist, Beth Israel Deaconess Medical Center
Verified email at bidmc.harvard.edu
Title
Cited by
Cited by
Year
COVID-19: neonatal–perinatal perspectives
A Barrero-Castillero, KS Beam, LB Bernardini, EGC Ramos, ...
Journal of Perinatology 41 (5), 940-951, 2021
1032021
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
1012014
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
312017
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
172021
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
162021
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
162019
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
152014
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
142017
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
132023
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
92023
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
72024
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
52023
Effect of an alternative newborn naming strategy on wrong-patient errors: a quasi-experimental study
E Pfeifer, M Lozovatsky, J Abraham, T Kannampallil
Applied clinical informatics 11 (02), 235-241, 2020
42020
Impact of patient census and admission mortality on pediatric intensive care unit attending electronic health record activity: a preliminary study
C Krawiec, C Stetter, L Kong, P Haidet
Applied Clinical Informatics 11 (02), 226-234, 2020
32020
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, 1-2, 2024
12024
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, 2023
12023
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
12023
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
2024
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
2023
Machine learning: remember the fundamentals
KS Beam, JAF Zupancic
Pediatric Research 93 (2), 291-292, 2023
2023
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