Deep Learning to Predicting Live Births and Aneuploid Miscarriages from Images of Blastocysts Combined with Maternal Age

  • Yasunari Miyagi Representative, Medical Data Labo, Okayama Pref., Japan and Visiting Professor, Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka City, Saitama Pref., Japan
  • Toshihiro Habara Okayama Couple's Clinic, Okayama City, Okayama Pref., Japan
  • Rei Hirata Okayama Couple’s Clinic, Okayama City, Okayama Pref., Japan
  • Nobuyoshi Hayashi Okayama Couple’s Clinic, Okayama City, Okayama Pref., Japan
DOI: https://doi.org/10.61797/ijbic.v1i1.132
Keywords: Aneuploid, Live birth, Blastocyst, Artificial intelligence, Deep learning

Abstract

Objectives: Making an artificial intelligence (AI) classifier that uses the maternal age and an image of the implanted blastocyst to determine the probability of getting a live birth.

Methods: The dataset comprised maternal age data and 407 images of blastocysts which led to live births and 246 images of blastocysts which led to aneuploid miscarriages, matched for maternal age. An AI system using deep learning was developed for predicting the classification and probability of a live birth.

Results: The accuracy, sensitivity, specificity, and positive and negative predictive values of the developed AI classifier were 0.75, 0.82, 0.64, 0.79, and 0.68, respectively. The area under the curve was 0.73 ± 0.04 (mean ± standard error).

Conclusions: A classifier using AI for a blastocyst image combined with the maternal age showed potential in determining the probability of a live birth.

Published
2022-02-11
Issue
Vol 1 No 1 (2022): Int J Bioinfor Intell Comput
Section
Articles

Copyright (c) 2022 Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Nobuyoshi Hayashi

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright © by the authors; licensee Research Lake International Inc., Canada. This open-access article is distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC) (http://creative-commons.org/licenses/by-nc/4.0/).