Predicting pregnancy test results after embryo transfer by image feature extraction and analysis using machine learning

Scientific Reports
Alejandro Chavez-BadiolaJuan Paulo Garcia-Sandoval

Abstract

Assessing the viability of a blastosyst is still empirical and non-reproducible nowadays. We developed an algorithm based on artificial vision and machine learning (and other classifiers) that predicts pregnancy using the beta human chorionic gonadotropin (b-hCG) test from both the morphology of an embryo and the age of the patients. We employed two high-quality databases with known pregnancy outcomes (n = 221). We created a system consisting of different classifiers that is feed with novel morphometric features extracted from the digital micrographs, along with other non-morphometric data to predict pregnancy. It was evaluated using five different classifiers: probabilistic bayesian, Support Vector Machines (SVM), deep neural network, decision tree, and Random Forest (RF), using a k-fold cross validation to assess the model's generalization capabilities. In the database A, the SVM classifier achieved an F1 score of 0.74, and AUC of 0.77. In the database B the RF classifier obtained a F1 score of 0.71, and AUC of 0.75. Our results suggest that the system is able to predict a positive pregnancy test from a single digital image, offering a novel approach with the advantages of using a small database, being highly adaptable to dif...Continue Reading

References

Sep 2, 2014·Artificial Intelligence in Medicine·Xuan GuoAnne R Haake
Apr 10, 2015·Journal of Assisted Reproduction and Genetics·Cristina LagallaAndrea Borini
Jul 16, 2015·Journal of Assisted Reproduction and Genetics·Ashleigh StorrWilliam Ledger
Aug 12, 2015·American Journal of Obstetrics and Gynecology·John J ZhangMadelon van Wely
May 10, 2017·Journal of Human Reproductive Sciences·Gaurav MajumdarKailash C Upadhyaya
Jul 14, 2017·Artificial Intelligence in Medicine·Qiling TangHaihua Liu
Aug 11, 2017·Scientific Reports·José Celso RochaMarcelo Fábio Gouveia Nogueira
Dec 16, 2017·Journal of Assisted Reproduction and Genetics·R SciorioS J Pickering
Dec 20, 2017·Scientific Data·José Celso RochaMarcelo Fábio Gouveia Nogueira
May 1, 2018·Artificial Intelligence in Medicine·Ziba GandomkarClaudia Mello-Thoms
May 4, 2018·JBRA Assisted Reproduction·Ivan H YoshidaCaio P Barbosa
Nov 8, 2019·PloS One·Andrius VabalasAlexander J Casson

❮ Previous
Next ❯

Citations

Nov 9, 2020·Fertility and Sterility·Nikica Zaninovic, Zev Rosenwaks
Jun 27, 2021·Journal of Assisted Reproduction and Genetics·Mikkel Fly Kragh, Henrik Karstoft
Mar 15, 2021·Journal of Assisted Reproduction and Genetics·Carol Lynn Curchoe

❮ Previous
Next ❯

Methods Mentioned

BETA
pregnancy test
feature extraction

Software Mentioned

AIR
AIR E

Related Concepts

Trending Feeds

COVID-19

Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease 2019 (COVID-19; formally known as 2019-nCoV). Coronaviruses can spread from animals to humans; symptoms include fever, cough, shortness of breath, and breathing difficulties; in more severe cases, infection can lead to death. This feed covers recent research on COVID-19.

Blastomycosis

Blastomycosis fungal infections spread through inhaling Blastomyces dermatitidis spores. Discover the latest research on blastomycosis fungal infections here.

Nuclear Pore Complex in ALS/FTD

Alterations in nucleocytoplasmic transport, controlled by the nuclear pore complex, may be involved in the pathomechanism underlying multiple neurodegenerative diseases including Amyotrophic Lateral Sclerosis and Frontotemporal Dementia. Here is the latest research on the nuclear pore complex in ALS and FTD.

Applications of Molecular Barcoding

The concept of molecular barcoding is that each original DNA or RNA molecule is attached to a unique sequence barcode. Sequence reads having different barcodes represent different original molecules, while sequence reads having the same barcode are results of PCR duplication from one original molecule. Discover the latest research on molecular barcoding here.

Chronic Fatigue Syndrome

Chronic fatigue syndrome is a disease characterized by unexplained disabling fatigue; the pathology of which is incompletely understood. Discover the latest research on chronic fatigue syndrome here.

Evolution of Pluripotency

Pluripotency refers to the ability of a cell to develop into three primary germ cell layers of the embryo. This feed focuses on the mechanisms that underlie the evolution of pluripotency. Here is the latest research.

Position Effect Variegation

Position Effect Variagation occurs when a gene is inactivated due to its positioning near heterochromatic regions within a chromosome. Discover the latest research on Position Effect Variagation here.

STING Receptor Agonists

Stimulator of IFN genes (STING) are a group of transmembrane proteins that are involved in the induction of type I interferon that is important in the innate immune response. The stimulation of STING has been an active area of research in the treatment of cancer and infectious diseases. Here is the latest research on STING receptor agonists.

Microbicide

Microbicides are products that can be applied to vaginal or rectal mucosal surfaces with the goal of preventing, or at least significantly reducing, the transmission of sexually transmitted infections. Here is the latest research on microbicides.