ReviewJournal of pharmacy & bioallied sciences2025
The Integration of Artificial Intelligence in
Review in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Artificial Intelligence in Routine IVF Practice.Biology · 2025Review
- Genetic and Epigenetic Risks of Male Infertility in ART.International journal of molecular sciences · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) in Assisted Reproductive Technology (ART) is transforming key areas of fertility treatments such as sperm collection, analysis of ovum quality, selection of embryos, genetic tests, customized treatment plans, stimulation protocols, as well as monitoring of equipment. This review article aims to review how every one of these fields is advanced by AI and the contribution to the precision, speed, and outcomes of the patients. Sperm selection in ART is enhanced by AI capacity in identifying and characterizing sperm quality through morphology, motility, and deoxyribonucleic acid (DNA) integrity, eliminating chances of human errors. A range of AI systems involves the procedure of selection and sorting of sperm in order to maximize fertilization and minimize contamination. Likewise, AI optimizes the assessment of ova quality by bringing in morphological evaluations and time-lapse video imaging for continuous observation of ova maturation. Predictive analytics in AI deal with large patient data to tailor treatment options, modify stimulation schedules, and increase the likelihood of pregnancy. In embryo selection, AI assesses morphological characteristics and developmental trends obtained from time-lapse imaging to select embryos with the best implantation chances. Combining it with genetic screening technologies, AI can identify genetic disorders on time to guarantee that only healthy genetic material is transferred. Moreover, artificial intelligence equipment tracking systems track equipment status and prognosis thus improving laboratory productivity and compliance with the relevant laws. On the ethical front, AI enhances matters of ownership, data protection, and patient safety through all these processes. With the help of AI, ART clinics can increase effectiveness, enhance patients' satisfaction, and develop the field of fertility treatments to make them more available and affordable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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 OpenQuestion graph.