Innovative use of artificial intelligence in urogynecology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology,Obstetrics and Gynaecology
Link
http://link.springer.com/content/pdf/10.1007/s00192-020-04243-2.pdf
Reference7 articles.
1. Emin EI, Emin E, Papalois A, Willmott F, Clarke S, Sideris M. Artificial intelligence in obstetrics and gynaecology: is this the way forward? In Vivo. 2019;33(5):1547–51.
2. Van Leuteren PG, Nieuwhof-Leppink AJ, Dik P. SENS-U: clinical evaluation of a full-bladder notification—a pilot study. J Pediatr Urol. 2019;15(4):381.e1–5.
3. Jelovsek JE, Chagin K, Brubaker L, et al. A model for predicting the risk of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery. Obstet Gynecol. 2014;123(2 Pt 1):279–87.
4. Miranne JM, Gutman RE, Sokol AI, Park AJ, Iglesia CB. Effect of a new risk calculator on patient satisfaction with the decision for concomitant Midurethral sling during prolapse surgery: a randomized controlled trial. Female Pelvic Med Reconstr Surg. 2017;23(1):17–22.
5. Sabadell J, Salicrú S, Montero-Armengol A, Rodriguez-Mias N, Gil-Moreno A, Poza JL. External validation of de novo stress urinary incontinence prediction model after vaginal prolapse surgery. Int Urogynecol J. 2019;30(10):1719–23.
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3. The Use of Artificial Intelligence in Urogynecology;International Journal of Women's Health and Reproduction Sciences;2023-12-24
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5. The role of artificial intelligence in the future of urogynecology;International Urogynecology Journal;2023-07-24
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