New method for determining fibrinogen and FDP threshold criteria by artificial intelligence in cases of massive hemorrhage during delivery-Reference-Cited by-同舟云学术

New method for determining fibrinogen and FDP threshold criteria by artificial intelligence in cases of massive hemorrhage during delivery

Published:2019-11-24 Issue: Volume: Page:
ISSN:1341-8076
Container-title:Journal of Obstetrics and Gynaecology Research
language:en
Short-container-title:J. Obstet. Gynaecol. Res.

Author:

Miyagi Yasunari¹²³^ORCID,Tada Katsuhiko⁴,Yasuhi Ichiro⁵,Maekawa Yuka⁶,Okura Naofumi⁷,Kawakami Kosuke⁷,Yamaguchi Ken⁸⁹,Ogawa Masanobu¹⁰¹¹,Kodama Takashi¹²,Nomiyama Makoto¹³,Mizunoe Tomoya¹⁴,Miyake Takahito¹⁵

Affiliation:

1. Medical Data Labo Okayama Japan

2. Department of Gynecologic OncologySaitama Medical University International Medical Center Saitama Japan

3. Miyake Ofuku Clinic Okayama Japan

4. Department of Obstetrics and GynecologyNational Hospital Organization Okayama Medical Center Okayama Japan

5. Department of Obstetrics and GynecologyNational Hospital Organization Nagasaki Medical Center Omura Japan

6. Department of Obstetrics and GynecologyNational Hospital Organization Mie Chuo Medical Center Tsu Japan

7. Department of Obstetrics and GynecologyNational Hospital Organization Kokura Medical Center Kitakyushu Japan

8. Department of Gynecology and ObstetricsKyoto University Graduate School of Medicine Kyoto Japan

9. Department of Obstetrics and GynecologyNational Hospital Organization Kyoto Medical Center Kyoto Japan

10. Research Center for Environment and Developmental Medical SciencesKyusyu University Fukuoka Japan

11. Department of Obstetrics and Gynecology/Clinical Research InstituteNational Hospital Organization Kyusyu Medical Center Fukuoka Japan

12. Department of Obstetrics and GynecologyNational Hospital Organization Higashihiroshima Medical Center Higashihiroshima Japan

13. Department of Obstetrics and GynecologyNational Hospital Organization Saga National Hospital Saga Japan

14. Department of Obstetrics and GynecologyNational Hospital Organization Kure Medical Center Kure Japan

15. Department of Obstetrics and GynecologyMiyake Clinic Okayama Japan

Publisher

Wiley

Subject

Obstetrics and Gynaecology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jog.14166

Reference64 articles.

1. Disseminated intravascular coagulation;Venugopal A;Indian J Anaesth,2014

2. Pathogenesis and management of peripartum coagulopathic calamities (disseminated intravascular coagulation and amniotic fluid embolism);Levi M;Thromb Res,2013

3. Haemostatic management of obstetric haemorrhage;Collis RE;Anesthesia,2015

4. Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age;Miyagi Y;Reprod Med Biol,2019

5. Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image;Miyagi Y;Reprod Med Biol,2019

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting risk of postpartum hemorrhage associated with vaginal delivery of twins: A retrospective study;Medicine;2023-12-15

2. Artificial intelligence to understand fluctuation of fetal brain activity by recognizing facial expressions;International Journal of Gynecology & Obstetrics;2022-11-26

3. Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review;Journal of Medical Internet Research;2022-04-20

4. Early Warning Model of Placenta Accreta Spectrum Disorders Complicated with Cervical Implantation: A Single-Center Retrospective Study;Journal of Healthcare Engineering;2022-02-04

5. Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review (Preprint);2021-12-05