IJCCR_2026v16n2

International Journal of Clinical Case Reports, 2026, Vol.16, No.2, 108-122 http://medscipublisher.com/index.php/ijccr 122 Pipes G.M., Hung A.J., and Kim K., 2025, Artificial intelligence and gynecologic surgery, Obstetrics and Gynecology, 146(5): 672-678. https://doi.org/10.1097/aog.0000000000006052 Polat G., and Arslan H., 2024, Artificial intelligence in clinical and surgical gynecology, İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi, (21): 1232-1241. https://doi.org/10.38079/igusabder.1291375 Power D., Burke C., Madden M., and Ullah I., 2025, Automated assessment of simulated laparoscopic surgical skill performance using deep learning, Scientific Reports, 15(1): 96336. https://doi.org/10.1038/s41598-025-96336-5 Rad A.A., Vardanyan R., Athanasiou T., Maessen J.G., and Nia S.M., 2025, The ethical considerations of integrating artificial intelligence into surgery: a review, Interdisciplinary Cardiovascular and Thoracic Surgery, 40(3): ivae192. https://doi.org/10.1093/icvts/ivae192 Raghavan N., Patel P., Limon D., Morris M., Kempenich J., and Rajesh A., 2025, Artificial intelligence in surgical education: a 2025 update on adaptive training feedback and competency-based education, The American Surgeon, 92(3): 675-686. https://doi.org/10.1177/00031348251397597 Seeger P., Kaldis N., Nickel F., Hackert T., Lykoudis P., and Giannou A., 2025, Surgical training simulation modalities in minimally invasive surgery: how to achieve evidence-based curricula by translational research, The American Journal of Surgery, 242: 116197. https://doi.org/10.1016/j.amjsurg.2025.116197 Suriya Q., Ali M., and Ali K., 2025, Artificial intelligence in gynecological care: transforming diagnosis, treatment, and personalized medicine, Journal of Medical and Health Sciences Review, 2(1): krgp3769. https://doi.org/10.62019/krgp3769 Tesfai F.M., Nagi J., Morrison I., Boal M., Olaitan A., Chandrasekaran D., Stoyanov D., Lanceley A., and Francis N., 2024, Objective assessment tools in laparoscopic or robotic-assisted gynecological surgery: a systematic review, Acta Obstetricia et Gynecologica Scandinavica, 103(11): 1480-1497. https://doi.org/10.1111/aogs.14840 Trapp U., Meyer B., Kiesel M., and Scherer-Quenzer A., 2025, Gynecological surgical training in VR, In 2025 29th International Conference Information Visualisation, 2025: 385-388. https://doi.org/10.1109/IV68685.2025.00072 Varghese C., Harrison E.M., O’Grady G., and Topol E.J., 2024, Artificial intelligence in surgery, Nature Medicine, 30(5): 1257-1268. https://doi.org/10.1038/s41591-024-02970-3 Vazquez E.F.O., Victoria J., López G., Tapia E., Acosta F., and Namcela S.D.R.P., 2025, Minimally invasive gynecologic surgery and enhanced recovery and outcomes: a literature review, Cureus, 17: e84814. https://doi.org/10.7759/cureus.84814 Wah J.N.K., 2025, Revolutionizing surgery: AI and robotics for precision risk reduction and innovation, Journal of Robotic Surgery, 19(1): 47. https://doi.org/10.1007/s11701-024-02205-0 Wu T., Nie K., Gao Y., Chen Y., Yan J., Wang S., and Zhang J., 2025, Research trends and hotspots in minimally invasive gynecologic surgery: a bibliometric and visualization analysis, International Journal of Women’s Health, 17: 3331-3345. https://doi.org/10.2147/IJWH.S522821 Yangi K., On T., Xu Y., Gholami A., Hong J., Reed A., Puppalla P., Chen J., Tangsrivimol J., Li B., Santello M., Lawton M.T., and Preul M.C., 2025, Artificial intelligence integration in surgery through hand and instrument tracking: a systematic literature review, Frontiers in Surgery, 12: 1528362. https://doi.org/10.3389/fsurg.2025.1528362

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