Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Embryo selection with artificial intelligence: how to evaluate and compare methods?

26 Jun 2021

Abstract excerpt

Embryo selection within in vitro fertilization (IVF) is the process of evaluating qualities of fertilized oocytes (embryos) and selecting the best embryo(s) available within a patient cohort for subsequent transfer or cryopreservation. In recent years, artificial intelligence (AI) has been used extensively to improve and automate the embryo ranking and selection procedure by extracting relevant information from...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to AI in cancer detection
Share to Assisted Reproductive Technology and Twin Pregnancy
Share to Fetal and Pediatric Neurological Disorders

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Ovarian function and disorders

Share to Prenatal Screening and Diagnostics

Share to Reproductive Biology and Fertility

Share to Reproductive Health and Technologies

Share to Sperm and Testicular Function

Source

Identifiers

PMID: 34173914
DOI: 10.1007/s10815-021-02254-6

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Embryo selection with artificial intelligence: how to evaluate and compare methods?PMID 34173914Read ↗

Intelligent assisted reproduction: Innovative applications of artificial intelligence in embryo health assessmentSemantic proximity Read ↗

Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequencesSemantic proximity Read ↗

An artificial intelligence model correlated with morphological and genetic features of blastocyst quality improves ranking of viable embryosSemantic proximity Read ↗

Artificial intelligence system for outcome evaluations of human in vitro fertilization-derived embryosSemantic proximity Read ↗

Characterization of an artificial intelligence model for ranking static images of blastocyst stage embryosSemantic proximity Read ↗

Artificial intelligence in in-vitro fertilization (IVF): A new era of precision and personalization in fertility treatmentsSemantic proximity Read ↗

Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilizationSemantic proximity Read ↗

Embryo selection tools in IVF can favour XY embryos: implications for equitable reproductive AISemantic proximity Read ↗

Use of artificial intelligence embryo selection based on static images to predict first-trimester pregnancy lossSemantic proximity Read ↗

Role of Artificial Intelligence in Quality Assurance in ART: A ReviewSemantic proximity Read ↗

Artificial intelligence outperforms humans in morphology-based oocyte selection in cattleSemantic proximity Read ↗

Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantationSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.