# Deep learning versus manual morphology-based embryo selection in IVF: a randomized, double-blind noninferiority trial

*PRI Rank #3 · Topics and Trends in Most Cited Reproductive Biology and Fertility Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/reproductive-biology-and-fertility/2026/rank-3*

| Field | Value |
| --- | --- |
| Rank | #3 |
| 18m citations | 67 |
| Journal | Nature Medicine |
| Year | 2024 |
| DOI | 10.1038/s41591-024-03166-5 |
| Corresponding authors | Peter Illingworth |
| Institution | Virtus Health, Australia |

**Ranking page:** [Topics and Trends in Most Cited Reproductive Biology and Fertility Papers, Class of 2026](https://pri.pepkio.com/top-papers/reproductive-biology-and-fertility/2026)

**Paper link:** [10.1038/s41591-024-03166-5](https://doi.org/10.1038/s41591-024-03166-5)

## Topics

deep learning · embryo selection · In vitro fertilization · iDAScore · morphological assessment · early-stage blastocysts · clinical pregnancy rate · noninferiority trial · double-blind randomized controlled trial · iDAScore · embryo prioritization scheme · multicenter trial

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Reproductive Biology and Fertility Papers, Class of 2026. https://pri.pepkio.com/top-papers/reproductive-biology-and-fertility/2026. Accessed 2026-07-17.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```