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01-07-2020 | Artificial Intelligence | Editorial

Innovative use of artificial intelligence in urogynecology

Authors: Jouhayna Bentaleb, Maryse Larouche

Published in: International Urogynecology Journal | Issue 7/2020

Excerpt

Development of artificial intelligence (AI) has become a worldwide priority in many fields. AI consists in the use of complex algorithms in order for machines to reason and perform cognitive functions, including problem-solving, outcome prediction, and decision-making. In obstetrics and gynecology, some innovative advances have been published with varying success, including automated fetal intrapartum surveillance reading, as well as in vitro fertilization success prediction tools and embryo selection models [1]. Urogynecology, in particular, will benefit greatly from future developments in AI. …

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.CrossRef

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.CrossRef

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.CrossRef

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.CrossRef

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.CrossRef

Jelovsek JE, Chagin K, Lukacz ES, et al. Models for predicting recurrence, complications, and health status in women after pelvic organ prolapse surgery. Obstet Gynecol. 2018;132(2):298–309.CrossRef

Greenfield D. Artificial intelligence in medicine: applications, implications, and limitations. http://sitn.hms.harvard.edu/flash/2019/artificial-intelligence-in-medicine-applications-implications-and-limitations/. Published 2019. Accessed 8 Jan 2020.

Title: Innovative use of artificial intelligence in urogynecology
Authors: Jouhayna Bentaleb
Maryse Larouche
Publication date: 01-07-2020
Publisher: Springer International Publishing
Keywords: Artificial Intelligence
Urinary Incontinence
Telemedicine
Urinary Incontinence
Published in: International Urogynecology Journal / Issue 7/2020
Print ISSN: 0937-3462
Electronic ISSN: 1433-3023
DOI: https://doi.org/10.1007/s00192-020-04243-2

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Innovative use of artificial intelligence in urogynecology

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