ReviewInternational journal of emergency medicine2025
Artificial intelligence in gynecologic and obstetric emergencies.
Review in International journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Article
- Artificial intelligence in obstetrics and gynecology: Evaluating ChatGPT and Google Gemini in answering patient questions.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Evaluation of ChatGPT-5 responses in obstetric and gynecological emergencies: concordance, readability, and clinical reliability.BMC emergency medicine · 2025Article
- Artificial Intelligence in Obstetrics and Gynaecology: Advancing Precision and Personalised Care.Cureus · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) uses a process by which machines perform human-like functions such as automated clinical decisions. This may operate efficiently in gynecologic and obstetric emergencies. We aimed to review the role and applications of AI in gynecologic and obstetric emergencies.
methodsA literature search was carried out in November 2023 in PubMed, Cochrane Library and Google Scholar using the keywords combination of "artificial intelligence, gynecology and obstetrics". Relevant articles were selected and read. Reference lists of the selected articles were also searched.
resultsThe literature demonstrated the role of AI to improve healthcare in emergency settings in several aspects such as diagnostic imaging, improving predictions in emergencies, and improving planning and resource allocation for emergency services. AI works objectively, overcoming human biases in decision-making. Creating interconnected data registries for AI will likely enhance its performance. Validation research in emergency settings has shown that AI-prediction tools perform more accurately compared with the estimation of risk and outcomes by gynecologists and obstetricians in emergency situations including endometriosis and acute abdominal pain. There was acceptance of AI and its potential benefits. Ethical dilemmas of using AI include data governance, responsibility for errors, and security issues. Providing training on AI to healthcare professionals working in emergency departments is needed.
conclusionsHealthcare professionals should educate themselves about the anticipated role of AI in gynecologic and obstetric emergencies, its indications, limitations, and ethical considerations so that they can take steps towards its application in their future practice using defined guidelines.
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.