This paper is in the following e-collection/theme issue:

Digital Health Reviews (1724) Artificial Intelligence (2129) Obstetrics, Gynecology, and Reproductive Medicine (329)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35465, first published .
Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review

Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review

Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review

Authors of this article:

Ferdinand Dhombres1, 2 Author Orcid Image ;   Jules Bonnard3 Author Orcid Image ;   Kévin Bailly3 Author Orcid Image ;   Paul Maurice1 Author Orcid Image ;   Aris T Papageorghiou4 Author Orcid Image ;   Jean-Marie Jouannic1, 2 Author Orcid Image
Article Authors Cited by (61) Tweetations (6) Metrics

Journals

  1. Sarno L, Neola D, Carbone L, Saccone G, Carlea A, Miceli M, Iorio G, Mappa I, Rizzo G, Girolamo R, D'Antonio F, Guida M, Maruotti G. Use of artificial intelligence in obstetrics: not quite ready for prime time. American Journal of Obstetrics & Gynecology MFM 2023;5(2):100792 View
  2. Du Y, McNestry C, Wei L, Antoniadi A, McAuliffe F, Mooney C. Machine learning-based clinical decision support systems for pregnancy care: A systematic review. International Journal of Medical Informatics 2023;173:105040 View
  3. Weichert J, Diedrich K, Gembruch U. Künstliche Intelligenz in der Gynäkologie und Geburtshilfe. Die Gynäkologie 2022;55(10):717 View
  4. Papastefanou I, Nicolaides K, Salomon L. Audit of fetal biometry: understanding sources of error to improve our practice. Ultrasound in Obstetrics & Gynecology 2023;61(4):431 View
  5. Chavez M, Butler T, Rekawek P, Heo H, Kinzler W. Chat Generative Pre-trained Transformer: why we should embrace this technology. American Journal of Obstetrics and Gynecology 2023;228(6):706 View
  6. Ziganshin A, Dikke G, Mudrov V. Predicting a clinically narrow pelvis using neural network data analysis. Obstetrics, Gynecology and Reproduction 2023;17(2):211 View
  7. Arain Z, Iliodromiti S, Slabaugh G, David A, Chowdhury T. Machine learning and disease prediction in obstetrics. Current Research in Physiology 2023;6:100099 View
  8. Czabanski R, Jezewski M, Leski J, Horoba K, Wrobel J, Martinek R, Barnova K. Refining the rule base of fuzzy classifier to support the evaluation of fetal condition. Applied Soft Computing 2023;147:110790 View
  9. Fischer A, Rietveld A, Teunissen P, Hoogendoorn M, Bakker P. What is the future of artificial intelligence in obstetrics? A qualitative study among healthcare professionals. BMJ Open 2023;13(10):e076017 View
  10. Suhag A, Kidd J, McGath M, Rajesh R, Gelfinbein J, Cacace N, Monteleone B, Chavez M. ChatGPT: a pioneering approach to complex prenatal differential diagnosis. American Journal of Obstetrics & Gynecology MFM 2023;5(8):101029 View
  11. Jost E, Kosian P, Jimenez Cruz J, Albarqouni S, Gembruch U, Strizek B, Recker F. Evolving the Era of 5D Ultrasound? A Systematic Literature Review on the Applications for Artificial Intelligence Ultrasound Imaging in Obstetrics and Gynecology. Journal of Clinical Medicine 2023;12(21):6833 View
  12. Yeh J, Clare C. Women’s Health and Artificial Intelligence (AI): Addressing Potential for Bias and Discrimination in AI. Current Women s Health Reviews 2023;19(4) View
  13. Deslandes A, Avery J, Chen H, Leonardi M, Condous G, Hull M. Artificial intelligence as a teaching tool for gynaecological ultrasound: A systematic search and scoping review. Australasian Journal of Ultrasound in Medicine 2024;27(1):5 View
  14. Medjedovic E, Stanojevic M, Jonuzovic-Prosic S, Ribic E, Begic Z, Cerovac A, Badnjevic A. Artificial intelligence as a new answer to old challenges in maternal-fetal medicine and obstetrics. Technology and Health Care 2024;32(3):1273 View
  15. Zhao T, Gao Y, Zhan W, Sun H, Zhang T, Li L, Zuo W, Tang X, Li Y, Tian Y. Municipal solid waste (MSW) under the population shrinking and aging: Spatio-temporal patterns, driving forces, and the impact of smart city development. Journal of Cleaner Production 2024;434:140124 View
  16. Gong L, Tang Y, Xie H, Zhang L, Sun Y. Predicting cervical intraepithelial neoplasia and determining the follow-up period in high-risk human papillomavirus patients. Frontiers in Oncology 2024;13 View
  17. Brandão M, Mendes F, Martins M, Cardoso P, Macedo G, Mascarenhas T, Mascarenhas Saraiva M. Revolutionizing Women’s Health: A Comprehensive Review of Artificial Intelligence Advancements in Gynecology. Journal of Clinical Medicine 2024;13(4):1061 View
  18. Wu Z, Yu X, Wang F, Xu C. Application of artificial intelligence in dental implant prognosis: A scoping review. Journal of Dentistry 2024;144:104924 View
  19. Peled T, Sela H, Weiss A, Grisaru‐Granovsky S, Agrawal S, Rottenstreich M. Evaluating the validity of ChatGPT responses on common obstetric issues: Potential clinical applications and implications. International Journal of Gynecology & Obstetrics 2024;166(3):1127 View
  20. Lourenço M, Arrufat T, Satorres E, Maderuelo S, Novillo-Del Álamo B, Guerriero S, Orozco R, Alcázar J. Ultrasound-Based Deep Learning Models Performance versus Expert Subjective Assessment for Discriminating Adnexal Masses: A Head-to-Head Systematic Review and Meta-Analysis. Applied Sciences 2024;14(7):2998 View
  21. Bernardes L, Fernandes A, Carvalho M, Ottolia J, Hamani M, Oliveira I, Kubota G, da Silva V, Veloso A, de Carvalho M, de Amorim Filho A, Arenholt L, Leutscher P, de Andrade D. Assessment of Human Fetuses Undergoing Acute Pain: Validation of the Fetal-7 Scale. The Journal of Pain 2024;25(9):104527 View
  22. Boie S, Glavind J, Bor P, Steer P, Riis A, Thiesson B, Uldbjerg N. Continued versus discontinued oxytocin stimulation in the active phase of labour (CONDISOX): individual management based on artificial intelligence - a secondary analysis. BMC Pregnancy and Childbirth 2024;24(1) View
  23. Shara N, Mirabal-Beltran R, Talmadge B, Falah N, Ahmad M, Dempers R, Crovatt S, Eisenberg S, Anderson K. Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data. JMIR Cardio 2024;8:e53091 View
  24. Wahbah M, Zitouni M, Al Sakaji R, Funamoto K, Widatalla N, Krishnan A, Kimura Y, Khandoker A. A deep learning framework for noninvasive fetal ECG signal extraction. Frontiers in Physiology 2024;15 View
  25. Yaseen I, Rather R. A Theoretical Exploration of Artificial Intelligence’s Impact on Feto-Maternal Health from Conception to Delivery. International Journal of Women's Health 2024;Volume 16:903 View
  26. Sinha R, Raina R, Bag M, Rupa B. Empowering gynaecologists with Artificial Intelligence: Tailoring surgical solutions for fibroids. European Journal of Obstetrics & Gynecology and Reproductive Biology 2024;299:72 View
  27. Pinheiro Y, Silva R. Artificial intelligence in gynecology and obstetrics: from the enthusiasm of use in practice to the challenges of implementation. Revista Brasileira de Ginecologia e Obstetrícia 2024;46 View
  28. Haj Yahya R, Roman A, Grant S, Whitehead C. Antenatal screening for fetal structural anomalies – Routine or targeted practice?. Best Practice & Research Clinical Obstetrics & Gynaecology 2024;96:102521 View
  29. Patel D, Chaudhari K, Acharya N, Shrivastava D, Muneeba S. Artificial Intelligence in Obstetrics and Gynecology: Transforming Care and Outcomes. Cureus 2024 View
  30. Lin X, Liang C, Liu J, Lyu T, Ghumman N, Campbell B. Artificial Intelligence–Augmented Clinical Decision Support Systems for Pregnancy Care: Systematic Review. Journal of Medical Internet Research 2024;26:e54737 View
  31. Silva C, Nascimento D, Dantas G, Fonseca K, Hespanhol L, Rego A, Araújo-Filho I. Impact of artificial intelligence on the training of general surgeons of the future: a scoping review of the advances and challenges. Acta Cirúrgica Brasileira 2024;39 View
  32. Weichert J, Scharf J. Advancements in Artificial Intelligence for Fetal Neurosonography: A Comprehensive Review. Journal of Clinical Medicine 2024;13(18):5626 View
  33. Kenig N, Monton Echeverria J, Muntaner Vives A. Artificial Intelligence in Surgery: A Systematic Review of Use and Validation. Journal of Clinical Medicine 2024;13(23):7108 View
  34. Kolsanova A, Chechko S, Kira E, Shamshatdinova A. Cervical screening and artificial intelligence. Science and Innovations in Medicine 2024;9(4):246 View
  35. Cui X, Goudie A, Blaivas M, Chai Y, Chammas M, Dong Y, Stewart J, Jiang T, Liang P, Sehgal C, Wu X, Hsieh P, Adrian S, Dietrich C. WFUMB Commentary Paper on Artificial intelligence in Medical Ultrasound Imaging. Ultrasound in Medicine & Biology 2025;51(3):428 View
  36. Huang X, Di X, Lin S, Yao M, Zheng S, Liu S, Lau W, Ye Z, Wang Z, Liu B. Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysis. eClinicalMedicine 2025;80:103072 View
  37. Bereuter J, Geissler M, Klimova A, Steiner R, Pfeiffer K, Kolbinger F, Wiest I, Muti H, Kather J. Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions. Journal of Surgical Education 2025;82(4):103442 View
  38. Al‐Qudimat A, Fares Z, Elaarag M, Osman M, Al‐Zoubi R, Aboumarzouk O. Advancing Medical Research Through Artificial Intelligence: Progressive and Transformative Strategies: A Literature Review. Health Science Reports 2025;8(2) View
  39. Lovers A, Daumer M, Frasch M, Ugwumadu A, Warrick P, Vullings R, Pini N, Tolladay J, Petersen O, Lederer C, Yang L, Djurić P, Abtahi F, Holzmann M, Boudet S, de l'Aulnoit A, Georgieva A. Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care. BJOG: An International Journal of Obstetrics & Gynaecology 2025;132(7):853 View
  40. Yan L, Li Q, Fu K, Zhou X, Zhang K. Progress in the Application of Artificial Intelligence in Ultrasound-Assisted Medical Diagnosis. Bioengineering 2025;12(3):288 View
  41. Dehghan S, Moghaddasi H, Rabiei R, Choobineh H, Maghooli K, Vahidi-Asl M. Machine learning in predicting infertility treatment success: A systematic literature review of techniques. Journal of Education and Health Promotion 2025;14(1) View
  42. Santiago Serna J. Tendencias actuales de investigación sobre ginecología en Colombia: Un breve análisis bibliométrico. Revista Peruana de Investigación Materno Perinatal 2024;13(4):9 View
  43. Stone J, Bromley B, Norton M, Feltovich H, Platt L, Copel J, Abu‐Rustum R, Perez M, Connolly K, Martins J, Rac M, Mardy A, Cooper T, Oyelese Y, Faksh A, Lee T, Deering S, Spitz J, Abuhamad A. Developing an optimal maternal‐fetal medicine ultrasound practice: A report and recommendations of the workshop of the Society for Maternal‐Fetal Medicine. Pregnancy 2025;1(3) View
  44. Nogueira M, Aparício S, Duarte I, Silvestre M. Artificial Intelligence’s Role in Improving Adverse Pregnancy Outcomes: A Scoping Review and Consideration of Ethical Issues. Journal of Clinical Medicine 2025;14(11):3860 View
  45. Sengupta P, Dutta S, Bagchi S, Hegde P, Sebastian S, Taylor D, Henkel R. Strategic Guidelines to Integrate Artificial Intelligence in Obstetrics and Gynecology: Best Practices and Ethical Considerations. Reproductive Sciences 2025;32(7):2244 View
  46. Zambrano Santos R, Elizabeth Villegas M, Castillo Merino Y, Quiroz Figueroa M. Predictive Technology in Maternal Health: artificial Intelligence Models for the Identification of Obstetric Risks. Salud, Ciencia y Tecnología 2025;5:1531 View
  47. Pramono M, Andonotopo W, Bachnas M, Dewantiningrum J, Sanjaya I, Sulistyowati S, Stanojevic M, Kurjak A. Fetal neurobehavior and consciousness: a systematic review of 4D ultrasound evidence and ethical challenges. Journal of Perinatal Medicine 2025;53(9):1145 View
  48. Duarte‐Tamara S, Olarte‐Bermúdez L, Bedoya N. Re: Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review. Ultrasound in Obstetrics & Gynecology 2025;66(4):533 View
  49. Beale S, Cohen N, Secheli B, McIntire D, Kho K. Comparing physician and artificial intelligence chatbot responses to posthysterectomy questions posted to a public social media forum. AJOG Global Reports 2025;5(3):100553 View
  50. Mascarenhas M, Peixoto C, Freire R, Cavaco Gomes J, Cardoso P, Castro I, Martins M, Mendes F, Mota J, Almeida M, Silva F, Gutierres L, Mendes B, Ferreira J, Mascarenhas T, Zulmira R. Artificial Intelligence and Hysteroscopy: A Multicentric Study on Automated Classification of Pleomorphic Lesions. Cancers 2025;17(15):2559 View
  51. Vasudevan L, Kibria M, Kucirka L, Shieh K, Wei M, Masoumi S, Balasubramanian S, Victor A, Conklin J, Gurcan M, Stuebe A, Page D. Machine Learning Models to Predict Risk of Maternal Morbidity and Mortality From Electronic Medical Record Data: Scoping Review. Journal of Medical Internet Research 2025;27:e68225 View
  52. Shi S, Dai C, Liu D, Liu X. Application of ultrasound in combination with other methods in gynecological disease: artificial intelligence, surgery, and drugs. Frontiers in Oncology 2025;15 View
  53. Adamyan L, Kotova E, Pivazyan L, Seregina V, Avetisyan D, Mailova K, Osipova A. Artificial intelligence in reproductive medicine and surgery. Russian Journal of Human Reproduction 2025;31(4):10 View
  54. Lin H, Deng X, Song D. Research trends of global artificial intelligence application in obstetrics and gynecology from 1999 to 2025: a bibliometric analysis based on web of science. Journal of Robotic Surgery 2025;19(1) View
  55. Ni J, Zhang D, Ding Y, Ding H, Munemo Z, Zhang H. Development and Validation of Dynamic Nomograms for Predicting Delivery Mode and Neonatal Intensive Care Unit Admission in Intrapartum Fever: A Retrospective Cohort Study. International Journal of Women's Health 2025;Volume 17:3385 View
  56. Nascimento M, Franco A, Mendes K, Freitas P. METHODOLOGICAL ADVANCES IN KNOWLEDGE SYNTHESIS AND THE USE OF ASREVIEW LAB: AN EXPERIENCE REPORT. Texto & Contexto - Enfermagem 2025;34 View
  57. Nascimento M, Franco A, Mendes K, Freitas P. AVANÇOS METODOLÓGICOS NA SÍNTESE DO CONHECIMENTO E O USO DO ASREVIEW LAB: RELATO DE EXPERIÊNCIA. Texto & Contexto - Enfermagem 2025;34 View
  58. West M, Alsaidi A, Siddiqi R, Sayyed F, Counts R, Quinto L, Stansbury N. Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions. International Journal of Gynecology & Obstetrics 2025 View
  59. Sajjadi H, Choobineh H, Safdari R. Presenting a conceptual model for decision support systems in infertility: A developmental study. International Journal of Reproductive BioMedicine (IJRM) 2025;23(10) View

Books/Policy Documents

  1. Rao B, Goundar S, Reddy G, Sri D, Kumar G, Vikas G. Innovations in Computational Intelligence, Big Data Analytics, and Internet of Things. View
  2. Sunitha G, Goundar S, Avanija J, Madhavi K. Innovations in Computational Intelligence, Big Data Analytics, and Internet of Things. View