Explainability of artificial intelligence (AI) tools in assisted reproductive technologies (ARTs): promise, clinical reality, and conceptual limits

Thomas Freour, Giulia Anichini, Maxence Gaillard, Harold Mouchere

Open source

DOI: 10.1093/humrep/deag102
Published: 2026-06-21
Container: Human Reproduction
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/humrep/deag102,
  title = {Explainability of artificial intelligence (AI) tools in assisted reproductive technologies (ARTs): promise, clinical reality, and conceptual limits},
  author = {Thomas Freour and Giulia Anichini and Maxence Gaillard and Harold Mouchere},
  year = {2026},
  journal = {Human Reproduction},
  doi = {10.1093/humrep/deag102},
  url = {https://doi.org/10.1093/humrep/deag102}
}

RIS

TY  - JOUR
TI  - Explainability of artificial intelligence (AI) tools in assisted reproductive technologies (ARTs): promise, clinical reality, and conceptual limits
AU  - Thomas Freour
AU  - Giulia Anichini
AU  - Maxence Gaillard
AU  - Harold Mouchere
PY  - 2026
JO  - Human Reproduction
DO  - 10.1093/humrep/deag102
UR  - https://doi.org/10.1093/humrep/deag102
ER  -

APA

Freour, T., Anichini, G., Gaillard, M., & Mouchere, H. (2026). Explainability of artificial intelligence (AI) tools in assisted reproductive technologies (ARTs): promise, clinical reality, and conceptual limits. Human Reproduction. https://doi.org/10.1093/humrep/deag102

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crossref · retrieved 2026-09-27T02:43:05.208Z