Artificial intelligence assistance for fetal development: evaluation of an automated software for biometry measurements in the mid-trimester.

Authors:
Han X; Yu J; Yang X; Chen C; Zhou H and 8 more

Journal:
BMC Pregnancy Childbirth

Publication Year: 2024

DOI:
10.1186/s12884-024-06336-y

PMCID:
PMC10885506

PMID:
38395822

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Journal Information

Journal Title: BMC Pregnancy Childbirth

Detailed journal information not available.

Publication Details

Subject Category: Obstetrics & Gynecology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score

3/6

50.0% Transparent

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COI Disclosure

Evidence found in paper:

"Declarations Ethics approval and consent to participateThe Research Ethics Committee of Shenzhen University General Hospital approved the study (Protocol number: KYLL-H2021-0018-02). Informed consent was obtained from all women. The study was conducted ethically in accordance with the World Medical Association Declaration of Helsinki. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Funding Disclosure

Evidence found in paper:

"Funding This work was supported by the grant from National Natural Science Foundation of China (Nos. 62101343, 62171290), Science and Technology Planning Project of Guangdong Province, China (No.2023A0505020002)."

Protocol Registration

Open Access

Paper is freely available to read

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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025