Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine

A hybrid artificial intelligence model leverages multi-centric clinical data to improve fetal heart rate pregnancy prediction across time-lapse systems

(2023) A Duval et al.   HUMAN REPRODUCTION

Delineating the heterogeneity of embryo preimplantation development using automated and accurate morphokinetic annotation

(2023) Nir Zabari et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Development and validation of deep learning based embryo selection across multiple days of transfer

(2023) Jacob Theilgaard Lassen et al.   Scientific Reports

Machine learning for prediction of euploidy in human embryos: in search of the best-performing model and predictive features

(2022) Stefanie De Gheselle et al.   FERTILITY AND STERILITY

Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences

(2022) Jørgen Berntsen et al.   PLoS One

Long short-term memory model – A deep learning approach for medical data with irregularity in cancer predication with tumor markers

(2022) Xiaoxing Wu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Human blastocyst spontaneous collapse is associated with worse morphological quality and higher degeneration and aneuploidy rates: a comprehensive analysis standardized through artificial intelligence

(2022) Danilo Cimadomo et al.   HUMAN REPRODUCTION

Can the combination of time-lapse parameters and clinical features predict embryonic ploidy status or implantation?

(2022) Yaoyu Zou et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Does AI explainability affect physicians’ intention to use AI?

(2022) Chung-Feng Liu et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Application of Artificial Intelligence in Pathology: Trends and Challenges

(2022) Inho Kim et al.   Diagnostics

Application of convolutional neural network on early human embryo segmentation during in vitro fertilization

(2021) Mingpeng Zhao et al.   JOURNAL OF CELLULAR AND MOLECULAR MEDICINE

Application of a deep learning neural network for the analysis of human blastocyst expansion from defined time-lapse image files

(2021) TTF Huang et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Ten simple rules for engaging with artificial intelligence in biomedicine

(2021) Avni Malik et al.   PLoS Computational Biology

Artificial intelligence with Attention Branch Network and deep learning can predict live births by using time-lapse imaging of embryos after in vitro fertilisation

(2021) Yuki Sawada et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Development of deep learning algorithms for predicting blastocyst formation and quality by time-lapse monitoring

(2021) Qiuyue Liao et al.   Communications Biology

Artificial intelligence—the future is now

(2021) Mark P. Trolice et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

End-to-end deep learning for recognition of ploidy status using time-lapse videos

(2021) Chun-I Lee et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data

(2021) Bo Huang et al.   Reproductive Biology and Endocrinology

Development of automated annotation software for human embryo morphokinetics

(2020) M Feyeux et al.   HUMAN REPRODUCTION

Can deep learning automatically predict fetal heart pregnancy with almost perfect accuracy?

(2020) Yoav Kan-Tor et al.   HUMAN REPRODUCTION

Automated cell division classification in early mouse and human embryos using convolutional neural networks

(2020) Jonas Malmsten et al.   NEURAL COMPUTING & APPLICATIONS

Novel and conventional embryo parameters as input data for artificial neural networks: an artificial intelligence model applied for prediction of the implantation potential

(2020) Lorena Bori et al.   FERTILITY AND STERILITY

Harnessing cytoplasmic particles movement of the human early embryo analysed by advanced imaging and artificial intelligence to predict development to blastocyst stage

(2020) Giovanni Coticchio et al.   REPRODUCTIVE BIOMEDICINE ONLINE

Application of Artificial Intelligence Technology in Oncology: Towards the Establishment of Precision Medicine

(2020) Ryuji Hamamoto et al.   Cancers

Artificial intelligence and machine learning for human reproduction and embryology presented at ASRM and ESHRE 2018

(2019) Carol Lynn Curchoe et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Embryo development stage prediction algorithm for automated time lapse incubators

(2019) D. Dirvanauskas et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Artificial intelligence in reproductive medicine

(2019) Renjie Wang et al.   REPRODUCTION

Artificial intelligence and dermatology: opportunities, challenges, and future directions

(2019) Daniel I Schlessinger et al.   SEMINARS IN CUTANEOUS MEDICINE AND SURGERY

Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer

(2019) D Tran et al.   HUMAN REPRODUCTION

DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes

(2019) Nguyen Quoc Khanh Le et al.   NEUROCOMPUTING

Predicting sepsis with a recurrent neural network using the MIMIC III database

(2019) Matthieu Scherpf et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Towards the automation of early-stage human embryo development detection

(2019) Vidas Raudonis et al.   Biomedical Engineering Online

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

(2019) Alejandro Barredo Arrieta et al.   Information Fusion

Ensemble learning: A survey

(2018) Omer Sagi et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Time-lapse imaging of embryos: current evidence supporting its use

(2016) Annie S. Leung et al.   Expert Review of Medical Devices

Combination of metabolism measurement and a time-lapse system provides an embryo selection method based on oxygen uptake and chronology of cytokinesis timing

(2016) Alberto Tejera et al.   FERTILITY AND STERILITY

Development of a generally applicable morphokinetic algorithm capable of predicting the implantation potential of embryos transferred on Day 3

(2016) Bjørn Molt Petersen et al.   HUMAN REPRODUCTION

Blastomere biopsy for PGD delays embryo compaction and blastulation: a time-lapse microscopic analysis

(2016) Liron Bar-El et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Abnormally cleaving embryos are able to produce live births: a time-lapse study

(2016) Yan Ling Fan et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century

(2015) M. C. Inhorn et al.   HUMAN REPRODUCTION UPDATE

A critical appraisal of time-lapse imaging for embryo selection: where are we and where do we need to go?

(2015) Catherine Racowsky et al.   JOURNAL OF ASSISTED REPRODUCTION AND GENETICS

The cleavage stage embryo

(2012) F. J. Prados et al.   HUMAN REPRODUCTION

Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage

(2010) Connie C Wong et al.   NATURE BIOTECHNOLOGY