Title |
Ovarian Follicular Transvaginal Ultrasound Measurements Using Artificial Intelligence |
Creator |
Heidi A. Horlacher |
Subject |
Ovarian; Artificial Intelligence; Transvaginal; Ultrasound; Follicular; Follicle; DNP |
Description |
The purpose of this prospective study was to analyze data from 2-dimensional (2D); TVUS (transvaginal ultrasound) ovarian follicular measurements and 3-dimensional; (3D)/artificial intelligence (AI) TVUS ovarian follicular measurements. Study objectives; included 1. To assess evidence supporting 2D vs. 3D TVUS performed with the use of AI, and; how it could be used in healthcare. 2. To compare efficacy of ovarian follicular ultrasounds with; 2D vs 3D/AI technology and evaluate. 3. To increase the knowledge and understanding among; staff at Reproductive Care Center about Cycle Clarity. |
Publisher |
Westminster University |
Date |
2023-08 |
Type |
Text; Image |
Language |
eng |
Rights |
Digital copyright 2023, Westminster University. All rights reserved. |
ARK |
ark:/87278/s6s8ghjj |
Setname |
wc_ir |
ID |
2402235 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6s8ghjj |