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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Application and potential of artificial intelligence in neonatal medicine
T’ng Chang Kwok, Caroline Henry, Sina Saffaran, et al.
Seminars in Fetal and Neonatal Medicine (2022) Vol. 27, Iss. 5, pp. 101346-101346
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review
Elif Keleş, Ulaş Bağcı
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 23
Transforming neonatal care with artificial intelligence: challenges, ethical consideration, and opportunities
Brynne A. Sullivan, Kristyn Beam, Zachary A. Vesoulis, et al.
Journal of Perinatology (2023) Vol. 44, Iss. 1, pp. 1-11
Open Access | Times Cited: 17
A Spatiotemporal Deep Learning Framework for Scalp EEG-Based Automated Pain Assessment in Children
Zanhao Fu, Huaiyu Zhu, Yi Zhang, et al.
IEEE Transactions on Biomedical Engineering (2024) Vol. 71, Iss. 6, pp. 1889-1900
Closed Access | Times Cited: 5
Ethical considerations regarding the treatment of extremely preterm infants at the limit of viability: a comprehensive review
Takeshi Arimitsu, Kazuki Hatayama, Kaori Gaughwin, et al.
European Journal of Pediatrics (2025) Vol. 184, Iss. 2
Closed Access
Neonatal nurses’ experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus
Abeer Nuwayfi Alruwaili, Afrah Madyan Alshammari, Ali Alhaiti, et al.
BMC Nursing (2025) Vol. 24, Iss. 1
Open Access
Artificial Intelligence in Midwifery: A Scoping Review of Current Applications, Future Prospects, and Midwives’ Perspectives
Paraskevi Giaxi, Victoria Vivilaki, Angeliki Sarella, et al.
Healthcare (2025) Vol. 13, Iss. 8, pp. 942-942
Open Access
Clinical Decision Support for Improved Neonatal Care: The Development of a Machine Learning Model for the Prediction of Late-onset Sepsis and Necrotizing Enterocolitis
M.T.H. Meeus, Charlie Beirnaert, Ludo Mahieu, et al.
The Journal of Pediatrics (2023) Vol. 266, pp. 113869-113869
Closed Access | Times Cited: 10
Combining artificial intelligence and conventional statistics to predict bronchopulmonary dysplasia in very preterm infants using routinely collected clinical variables
Sara Montagna, Dalila Magno, Stefano Ferretti, et al.
Pediatric Pulmonology (2024) Vol. 59, Iss. 12, pp. 3400-3409
Open Access | Times Cited: 3
The critical role of technologies in neonatal care
Syed Taha, Rosalind B. Simpson, Don Sharkey
Early Human Development (2023) Vol. 187, pp. 105898-105898
Open Access | Times Cited: 7
Evaluation of neonatal nurses' anxiety and readiness levels towards the use of artificial intelligence
Ayşe Sevim Ünal, Aydın Avcı
Journal of Pediatric Nursing (2024)
Closed Access | Times Cited: 2
How can cry acoustics associate newborns’ distress levels with neurophysiological and behavioral signals?
Ana Laguna, Sandra Pusil, Irene Acero-Pousa, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 6
Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study
Young‐A Kim, Hyeongsub Kim, Jae-Woo Choi, et al.
BMC Pediatrics (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 6
The use of Artificial Intelligence in Pharmacy
Sidhartha Jyoti Bora, Runa Chakravorty, Payal Das Gupta
Asian Journal of Pharmacy and Technology (2023), pp. 229-234
Closed Access | Times Cited: 4
Advancements and Challenges in Non-Invasive Electrocardiography for Prenatal, Intrapartum, and Postnatal Care: A Comprehensive Review
Roya Aghadavoud Marnani, René Jaroš, Jan Pavlíček, et al.
IEEE Access (2024) Vol. 12, pp. 44730-44747
Open Access | Times Cited: 1
Machine learning-based prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods
Ayşe Yildirim, Murat Canayaz
Neural Computing and Applications (2024) Vol. 36, Iss. 23, pp. 14433-14448
Open Access | Times Cited: 1
Predictive model development for premature infant extubation outcomes: development and analysis
Camila Espindola, Yuri K. Lopes, G. Ferreira, et al.
Pediatric Research (2024)
Closed Access | Times Cited: 1
Unveiling the Influence of Artificial Intelligence on Advancements in Respiratory Care: A Narrative Review (Preprint)
Mohammed Μ. Alqahtani, Abdullah Alanazi, Saleh S. Algarni, et al.
Interactive Journal of Medical Research (2024) Vol. 13, pp. e57271-e57271
Open Access | Times Cited: 1
Transforming Healthcare Through Smart Health Systems: Harnessing Technology for Enhanced Patient Care
Remya Jayachandran, Bhargava Dantapur, Arun Antony, et al.
Approaches to global sustainability, markets, and governance (2024), pp. 107-127
Closed Access | Times Cited: 1
Artificial intelligence in the NICU to predict extubation success in prematurely born infants
Allan Jenkinson, Theodore Dassios, Anne Greenough
Journal of Perinatal Medicine (2023) Vol. 52, Iss. 2, pp. 119-125
Open Access | Times Cited: 3
Artificial Intelligence Applications in Decision Making for Disease Management
Mohammadhiwa Abdekhoda, Fatemeh Ranjbaran
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Computational Approaches for Predicting Preterm Birth and Newborn Outcomes
David Seong, Camilo Espinosa, Nima Aghaeepour
Clinics in Perinatology (2024) Vol. 51, Iss. 2, pp. 461-473
Closed Access
From Prediction to Practice: A Rapid Review on the Opportunities and Challenges of using Artificial Intelligence in the Neonatal Intensive Care Unit (NICU) (Preprint)
Samantha Tudor, Urooj Raza Khan, Risha Bhatia, et al.
(2024)
Open Access
Artificial Intelligence Applications in Neonatal Critical Care: A Scoping Review
Surekha Satish Sakore, Seeta Devi, Prachi Mahapure, et al.
Journal of Clinical Neonatology (2024) Vol. 13, Iss. 3, pp. 102-109
Closed Access
AI-Powered Vigilance in Neonatal Vital Signs Monitoring for Optimal Health Care
S. Gandhimathi Alias Usha, K. Bharathi
Advances in medical technologies and clinical practice book series (2024), pp. 159-182
Closed Access
Identification of Barriers to AI Implementation in Medical Information Systems
Agnieszka Pilch, Ryszard Zygała, Wiesława Gryncewicz, et al.
Lecture notes in networks and systems (2024), pp. 62-73
Closed Access
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