Evidence map›Paper›PMID 40524101›Full record

GuidelineReproductive sciences (Thousand Oaks, Calif.)2025

Strategic Guidelines to Integrate Artificial Intelligence in Obstetrics and Gynecology: Best Practices and Ethical Considerations.

Pallav Sengupta, Sulagna Dutta, Sovan Bagchi, Prashanth Hegde, Suraj Sebastian, David Cm Taylor, Ralf Henkel

Abstract readGuideline
PubMed Publisher
In one paragraph

Guideline in Reproductive sciences (Thousand Oaks, Calif.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Pallav Sengupta *Department of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, UAE. pallav_cu@yahoo.com.ORCID 0000-0002-1928-5048
Sulagna Dutta *Basic Medical Sciences Department, College of Medicine, Ajman University, Ajman, UAE.ORCID 0000-0002-7893-5282
Sovan BagchiDepartment of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, UAE.ORCID 0000-0003-3507-1944
Prashanth HegdeDepartment of Obstetrics & Gynecology, Thumbay University Hospital, Ajman, UAE.ORCID 0009-0001-5306-7538
Suraj SebastianDepartment of General Education (eLearning & IT), Gulf Medical University, Ajman, UAE.ORCID 0000-0002-0249-0475
David Cm TaylorDepartment of Biomedical Sciences, College of Medicine, Gulf Medical University, Ajman, UAE.ORCID 0000-0002-3296-2963
Ralf HenkelDepartment of Metabolism, Digestion & Reproduction, Imperial College London, London, UK.ORCID 0000-0003-1128-2982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transformative advancements in artificial intelligence (AI) have significantly impacted medical fields, particularly obstetrics and gynecology (OBGYN). This manuscript presents a comprehensive set of twelve strategic guidelines for the effective integration of AI into OBGYN, emphasizing both best practices and ethical considerations. These guidelines cover essential domains including multidisciplinary collaboration, safeguarding patient safety and privacy, continuous staff training, mitigating algorithmic bias, promoting transparent communication with patients, and fostering a continuous feedback loop between clinicians and AI developers. Additional recommendations highlight the importance of staying updated on AI advancements, defining the role of AI within clinical governance frameworks, ensuring long-term sustainability, collaborating with AI vendors for customized solutions, and evaluating outcomes to inform future practice. These strategies are designed to position AI as an augmentative tool in clinical decision-making, ensuring it enhances rather than replaces human expertise. By upholding collaborative efforts and ethical standards, AI can profoundly improve care quality in OBGYN, fostering safer and more effective healthcare delivery.

Indexed as

Artificial IntelligenceGynecologyObstetricsFemaleHumansPregnancyArtificial intelligenceGynecologyHealthcareObstetrics

Identifiers

PMID40524101

What Socratic holds

Textmetadata
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.