Evidence map›Paper›PMID 41330358›Full record

ReviewObstetrics & gynecology science2026

Innovations in assisted reproductive technologies: evaluating efficacy, safety, and long-term outcomes in female infertility.

Hakimeh Akbari

Abstract readReview
In one paragraph

Review in Obstetrics & gynecology science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Hakimeh AkbariCellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative review evaluates innovations in assisted reproductive technology (ART) for female infertility, focusing on efficacy, safety, and long-term outcomes. The key objectives include synthesizing advancements such as artificial intelligence (AI)-driven embryo selection, preimplantation genetic testing (PGT), vitrification, and time-lapse imaging, along with their clinical applications. Evidence indicates that PGT can improve implantation and live birth rates per transfer in selected patient groups, that is, those with recurrent pregnancy loss or advanced maternal age. Evidence of AI-assisted selection is promising, but predominantly retrospective, with the potential to improve the efficiency of embryo selection, but has not yet been proven across a variety of clinical settings. However, safety concerns, including ovarian hyperstimulation syndrome, multiple pregnancies, and potential long-term maternal and offspring health risks, persist. Critical reflections highlight ethical dilemmas (e.g., "designer babies", embryo disposition), psychological stressors for patients, and disparities in ART access due to socioeconomic factors. This review underscores the need for personalized protocols, robust longitudinal studies on child development, and equitable policy frameworks. These conclusions advocate for interdisciplinary collaboration to balance technological innovation with ethical integrity, psychological support, and global accessibility.

Indexed as

Artificial intelligenceEthicsFemaleInfertilityPreimplantation diagnosis

Identifiers

PMID41330358
PMCPMC12862146

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.