Artificial Intelligence in Neonatal Surgery: Addressing Educational Gaps for Muslim Women in Medicine

Authors

  • Heena Kowsar
  • R. Vijaya Krishna Naidu
  • Yamini Tondepu
  • Kiran Onapakala
  • Sateesh Kokkiligadda
  • Tejaswi Maddineni

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References

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Guez-Barber, D., & Pilon, B. (2024). Parental impact during and after neonatal intensive care admission. Seminars in Perinatology, 48(5), 151926. https://doi.org/https://doi.org/10.1016/j.semperi.2024.151926

Hasnain, M., Connell, K., Menon, U., & Tranmer, P. (2011). Patient-Centered Care for Muslim Women: Provider and Patient Perspectives. Journal of Women’s Health (2002), 20, 73–83. https://doi.org/10.1089/jwh.2010.2197

Jeong, H., & Kamaleswaran, R. (2022). Pivotal challenges in artificial intelligence and machine learning applications for neonatal care. Seminars in Fetal and Neonatal Medicine, 27(5), 101393. https://doi.org/https://doi.org/10.1016/j.siny.2022.101393

Joaquim, P., Calado, G., & Costa, M. (2024). Benefits of reading to premature newborns in the neonatal intensive care unit: A scoping review. Journal of Neonatal Nursing, 30(4), 325–330. https://doi.org/https://doi.org/10.1016/j.jnn.2023.11.011

Khan, S. M. (2025). Chapter 14 - AI-enabled decision support systems in clinical practice. In S. M. Khan (Ed.), Fundamentals of AI for Medical Education, Research and Practice (pp. 305–330). Academic Press. https://doi.org/https://doi.org/10.1016/B978-0-443-33584-6.00014-1

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Levin, C., Kagan, T., Rosen, S., & Saban, M. (2024). An evaluation of the capabilities of language models and nurses in providing neonatal clinical decision support. International Journal of Nursing Studies, 155, 104771. https://doi.org/https://doi.org/10.1016/j.ijnurstu.2024.104771

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Papatheodorou, A., Gilboa, D., Seidman, D., Oraiopoulou, C., Karagianni, M., Papadopoulou, M., Tsarfati, M., Christoforidis, N., & Chatziparasidou, A. (2022). Clinical and practical validation of an end-to-end artificial intelligence (AI)-driven fertility management platform in a real-world clinical setting. Reproductive BioMedicine Online, 45, e44–e45. https://doi.org/https://doi.org/10.1016/j.rbmo.2022.08.076

Shiang, T., Garwood, E., & Debenedectis, C. M. (2022). Artificial intelligence-based decision support system (AI-DSS) implementation in radiology residency: Introducing residents to AI in the clinical setting. Clinical Imaging, 92, 32–37. https://doi.org/https://doi.org/10.1016/j.clinimag.2022.09.003

Taha, S., Simpson, R. B., & Sharkey, D. (2023). The critical role of technologies in neonatal care. Early Human Development, 187, 105898. https://doi.org/https://doi.org/10.1016/j.earlhumdev.2023.105898

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Published

2025-04-23

How to Cite

1.
Kowsar H, Naidu RVK, Tondepu Y, Onapakala K, Kokkiligadda S, Maddineni T. Artificial Intelligence in Neonatal Surgery: Addressing Educational Gaps for Muslim Women in Medicine. J Neonatal Surg [Internet]. 2025Apr.23 [cited 2025Oct.14];14(15S):2082-91. Available from: https://jneonatalsurg.com/index.php/jns/article/view/4439

Issue

Vol. 14 No. 15S (2025): Journal of Neonatal Surgery

Section

Original Article

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