Artificial Intelligence in Gynecologic Imaging.
What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, and localization of uterine fibroids, and the differentiation of benign fibroids and sarc...
| Publicado en: | Clinical Obstetrics & Gynecology Vol. 69; no. 1; pp. 26 - 36 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images glossary review tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Mar2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=191108563&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 191108563 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00099201 23M jtl: Clinical Obstetrics & Gynecology issn: 00099201 maglogo: N pubinfo: dt: Mar2026 vid: 69 iid: 1 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 191108563 191108563 191108563 10.1097/GRF.0000000000000984 191108563 ppf: 26 ppct: 10 formats: tig: atl: Artificial Intelligence in Gynecologic Imaging. aug: au: Briggs, Morgan Saif, Ayesha L. Kline, Timothy VanBuren, Wendaline Cohen Rassier, Sarah L. Green, Isabel C. affil: Department of Obstetrics and Gynecology, Division of Minimally Invasive Surgery sug: subj: Artificial Intelligence Utilization Diagnosis, Gynecologic Methods Diagnostic Imaging Image Processing, Computer Assisted Diagnosis, Computer Assisted Diagnosis, Differential Leiomyoma Diagnosis Endometriosis Diagnosis Adenomyosis Diagnosis Fertility Reading Image Interpretation, Computer Assisted Gynecologic Care Machine Learning Deep Learning Radiomics Endosonography Magnetic Resonance Imaging Automation Uterine Neoplasms Diagnosis Sarcoma Diagnosis Severity of Illness Evaluation Decision Support Systems, Clinical Detection Algorithms Treatment Outcomes Preoperative Care Endometriosis Classification Leiomyoma Surgery Endometriosis Surgery Adenomyosis Surgery Sensitivity and Specificity Classification Algorithms Prediction Models Prediction Algorithms ab: What was done? A review of artificial intelligence (AI) applications for the imaging of uterine fibroids, endometriosis, and adenomyosis. What was found? AI models can assist with the recognition, segmentation, and localization of uterine fibroids, and the differentiation of benign fibroids and sarcomas. Models can aid in the diagnosis of adenomyosis and endometriosis, and the prediction of the impact of endometriosis on fertility. What the findings mean? Deployed thoughtfully, AI tools could reduce variability, shorten read times, and add objective measurements to routine care. Studies evaluating these models are limited by single-institution designs and continued reliance on expert sonologists and radiologists. pubtype: Academic Journal doctype: diagnostic images glossary review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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