Roles and applications of artificial intelligence in fetal and placental MRI: a literature review
Dandan Ding, Fangmei Zhu, Xue Tang, Zhongxiang Ding · 2026
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Description
Dandan Ding, with three colleagues, reviews 2026 work on artificial intelligence for MRI scans of unborn babies and the placenta. MRI gives sharp soft-tissue views when ultrasound falls short, yet fetal motion, noise, and reader differences can blur the read. Smart tools promise faster, steadier scans and reads.
A PubMed search to May 2024 kept 74 studies on fetal scans and 32 on placenta scans. In fetal work, sorting organs into maps led, with motion fixes next and disease sorting rare. Placenta work centred on judging invasion into the womb wall, then on organ mapping. Past work claimed scan time cuts up to 60 percent at like quality. The authors flag small, single-centre data sets and thin variety as the main limits to fix.
Catalog record
| CREATOR | Dandan Ding, Fangmei Zhu, Xue Tang, Zhongxiang Ding |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47384 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |