ArticleJournal of obstetrics and gynaecology of India2025
Get the Artificial Intelligence (AI) Edge in Obstetrics and Gynaecology.
Article in Journal of obstetrics and gynaecology of India, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) is on the fast track so far as the growth is concerned, from experimental to implementation in field of medicine. AI should be used ethically and intelligently. Large data base availability, advances in algorithm-theories, computing improvements has led to breakthrough in AI applications in current medicine. Machine learning (ML), which is subset of AI, allows computers to detect patterns through larger data base automatically, that can be used to make predictions. Is it paradigm shift? In the field of Obstetrics and Gynaecology, AI is used in reproductive medicine for diagnosis, treatment with fertility outcome, cancer treatment, USG-MRI images diagnosis, foetal echocardiography, cardiotocography (CTG), preterm labour prediction and urogynaecology. ChatGPT can be helpful in medical writing but there is always a challenge with respect to accuracy and reliability. AI can be used in research and experiments, there by strengthening evidence-based clinical practice. More research is ongoing on personalized diagnosis, treatment and remote medical expert team opinion. It does not replace the medical advice given by the clinician but that should not deter clinician by exploring more uses of AI. Despite various challenges and limitations, integration of AI in medical field is bound to progress in correct direction for better future.
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.