Deep learning early warning system for embryo culture conditions and embryologist performance in the ART laboratory

被引：28

作者：

Curchoe, Carol Lynn ^{[1
]}

Thirumalaraju, Prudhvi ^{[2
]}

Kanakasabapathy, Manoj K. ^{[2
]}

Gupta, Raghav ^{[2
]}

Pooniwala, Rohan ^{[2
]}

Kandula, Hemanth ^{[2
]}

Souter, Irene ^{[3
]}

Dimitriadis, Irene ^{[3
]}

Bormann, Charles L. ^{[3
]}

Shafiee, Hadi ^{[2
]}

机构：

[1] Colorado Ctr Reprod Med, Newport Beach, CA 92663 USA

[2] Harvard Med Sch, Brigham & Womens Hosp, Dept Med, Div Engn Med, Boston, MA 02115 USA

[3] Massachusetts Gen Hosp, Fertil Ctr, Obstet Gynecol Reprod Endocrinol & Infertil, Boston, MA 02114 USA

来源：

JOURNAL OF ASSISTED REPRODUCTION AND GENETICS | 2021年 / 38卷 / 07期

关键词：

Clinical decision-making; Competency; Quality assurance; Proficiency; Embryo quality; Embryology; Laboratory quality management systems; Assisted reproductive technologies; Infertility; Artificial intelligence; AI; Convolutional neural network; CNN; INTERNAL QUALITY-CONTROL; INDICATORS; SELECTION;

D O I：

10.1007/s10815-021-02198-x

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

Staff competency is a crucial component of the in vitro fertilization (IVF) laboratory quality management system because it impacts clinical outcomes and informs the key performance indicators (KPIs) used to continuously monitor and assess culture conditions. Contemporary quality control and assurance in the IVF lab can be automated (collect, store, retrieve, and analyze), to elevate quality control and assurance beyond the cursory monthly review. Here we demonstrate that statistical KPI monitoring systems for individual embryologist performance and culture conditions can be detected by artificial intelligence systems to provide systemic, early detection of adverse outcomes, and identify clinically relevant shifts in pregnancy rates, providing critical validation for two statistical process controls proposed in the Vienna Consensus Document; intracytoplasmic sperm injection (ICSI) fertilization rate and day 3 embryo quality.

引用

页码：1641 / 1646

页数：6

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