AI in Perinatal Medicine and Human Reproduction: Artificial IntelligenceAI in Perinatal Medicine and Human Reproduction: Is it “The End of the Beginning” or “The Beginning of the End”?
Milan Stanojevic1,2,3,4 , Asim Kurjak2,3,4 , Edin Medjedovic4,5,6
1 Department of Obstetrics and Gynecology, Medical School University of Zagreb, Zagreb, Croatia
2 Department of Obstetrics and Gynecology, University Hospital “Sveti Duh”, Zagreb, Croatia
3 Sarajevo School of Science and Technology, Sarajevo, Bosnia and Herzegovina
4 International Academy of Science and Art in Bosnia and Herzegovina
5 Clinic of Gynecology and Obstetrics, Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina
6 Faculty of Medicine, University of Sarajevo, Sarajevo, Bosnia and Herzegovina
Corresponding Author: Milan Stanojevic MD, PhD. Department of Obstetrics and Gynecology, Medical School
University of Zagreb, Zagreb, Croatia; E-mail: mstanoje29@yahoo.com; Phone: +385 913712110; ORCID ID: https://orcid.org/0000-0002-3124-5575.
Pages: 20-25 / Published online: 20 August 2024
Cite this article: Stanojevic M, Kurjak A, Medjedovic E. Artificial Intelligence in Perinatal Medicine and Human Reproduction: Is it “The End of the Beginning” or “The Beginning of the End”?. Sar Med J. 2024; 1(1): Online ahead of print.. 
DOI: 10.70119/0006-24
Original submission: 17 March 2024; Revised submission: 09 June 2024; Accepted: 13 July 2024
Abstract
The paper explores the evolving role of Artificial Intelligence (AI) in perinatal medicine and hu-man reproduction, highlighting its potential to transform clinical practices. AI technologies are being utilized to improve diagnostic accuracy, personalize treatment, and enhance patient care, particularly in areas like perinatal ultrasound, fetal heart rate monitoring, and fetal neurology. The Kurjak Antenatal Neurodevelopmental Test (KANET) exemplifies how AI can aid early detection of neurodevelopmental disorders. However, the integration of AI presents challenges such as data quality concerns, algorithmic bias, ethical concerns, and the need for robust regulatory frameworks. The authors argue that while AI offers significant opportunities, its implementation must be carefully managed to avoid over-reliance on technology and ensure equitable healthcare access. The paper concludes that the current state of AI in this field marks not an endpoint but a critical phase of growth and development, necessitating a balanced approach that combines innovation with ethical and practical considerations.
Keywords: Artificial Intelligence, Perinatology, Healthcare.
