Current developments in artificial intelligence from obstetrics and gynecology to urogynecology

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SEVAL M. M., VARLI B.

FRONTIERS IN MEDICINE, vol.10, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Review
  • Volume: 10
  • Publication Date: 2023
  • Doi Number: 10.3389/fmed.2023.1098205
  • Journal Name: FRONTIERS IN MEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, Directory of Open Access Journals
  • Keywords: artificial intelligence, deep learning, machine learning, urogynecology, urinary incontinence, pelvic organ prolapse, MODEL, PREDICTION
  • Ankara University Affiliated: Yes

Abstract

In today's medical practice clinicians need to struggle with a huge amount of data to improve the outcomes of the patients. Sometimes one clinician needs to deal with thousands of ultrasound images or hundred papers of laboratory results. To overcome this shortage, computers get in help of human beings and they are educated under the term "artificial intelligence." We were using artificial intelligence in our daily lives (i.e., Google, Netflix, etc.), but applications in medicine are relatively new. In obstetrics and gynecology, artificial intelligence models mostly use ultrasound images for diagnostic purposes but nowadays researchers started to use other medical recordings like non-stress tests or urodynamics study results to develop artificial intelligence applications. Urogynecology is a developing subspecialty of obstetrics and gynecology, and articles about artificial intelligence in urogynecology are limited but in this review, we aimed to increase clinicians' knowledge about this new approach.