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Early Gestational Diabetes Mellitus: Screening and Management. 妊娠早期糖尿病：筛查和管理。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-06-01 Epub Date: 2026-04-03 DOI: 10.1097/GRF.0000000000001011
Rajesh Reddy, Lorie Harper
{"title":"Early Gestational Diabetes Mellitus: Screening and Management.","authors":"Rajesh Reddy, Lorie Harper","doi":"10.1097/GRF.0000000000001011","DOIUrl":"10.1097/GRF.0000000000001011","url":null,"abstract":"<p><p>With increasing maternal age and obesity rates in reproductive-aged women, gestational diabetes has increased in prevalence. This has generated interest in broadening screening for glycemic dysfunction in pregnancy, to detect both previously undiagnosed diabetes as well as early gestational diabetes. Clinical guidance is limited, however, due to the shortage of high-quality evidence and the lack of uniform diagnostic criteria. This review will provide a summary of the screening and diagnosis of GDM before 20 weeks of gestation.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"163-169"},"PeriodicalIF":1.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147608326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vulvar Dermatitis: Diagnosis and Management. 外阴皮炎：诊断和治疗。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-06-01 Epub Date: 2026-03-24 DOI: 10.1097/GRF.0000000000001006
Amaris N Geisler, John J Willems
{"title":"Vulvar Dermatitis: Diagnosis and Management.","authors":"Amaris N Geisler, John J Willems","doi":"10.1097/GRF.0000000000001006","DOIUrl":"10.1097/GRF.0000000000001006","url":null,"abstract":"<p><p>Candidiasis, herpes simplex virus, bacterial vaginosis, irritant contact dermatitis, allergic contact dermatitis, psoriasis, and eczema/lichen simplex chronicus are often misdiagnosed, mistreated, and underrecognized causes of vulvar discomfort. Vulvar discomfort is frequently encountered in dermatology, gynecology, urology, and primary practice. A lack of ownership among specialties often leads to significant knowledge gaps among these providers and delays in care. Clinical symptoms of vulvar dermatitis can overlap, posing a diagnostic challenge. Herein, we provide a tool to guide the diagnostic algorithm for vulvar dermatitis, along with detailed diagnostic and treatment recommendations.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"103-113"},"PeriodicalIF":1.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147502979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Type 2 Diabetes in Pregnancy: Management and Novel Therapies. 妊娠期2型糖尿病：管理和新疗法。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-06-01 Epub Date: 2026-03-25 DOI: 10.1097/GRF.0000000000001008
Gianna Wilkie
{"title":"Type 2 Diabetes in Pregnancy: Management and Novel Therapies.","authors":"Gianna Wilkie","doi":"10.1097/GRF.0000000000001008","DOIUrl":"10.1097/GRF.0000000000001008","url":null,"abstract":"<p><p>Type 2 diabetes mellitus (T2DM) is estimated to affect 2% of all pregnancies, and it is associated with numerous adverse perinatal outcomes. Glycemic monitoring and strict glycemic control are required to improve overall outcomes. Insulin is the mainstay of treatment, with limited data regarding newer medications like glucagon-like peptide 1 receptors agonists (GLP-1 RAs), dual incretin agonists like tirzepatide, sodium-glucose cotransporter-2 inhibitors (SGLT2i), and dipeptidyl peptidase-4 inhibitors (DPP-4i). This chapter will provide a review of the current available literature regarding T2DM management in pregnancy.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"203-209"},"PeriodicalIF":1.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147509982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial Intelligence in Obstetrics: The Promise Has Become Reality. 产科中的人工智能：承诺已成为现实。
IF 1.4 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1097/GRF.0000000000000995
Daniele Di Mascio, Alessandra Familiari
{"title":"Artificial Intelligence in Obstetrics: The Promise Has Become Reality.","authors":"Daniele Di Mascio, Alessandra Familiari","doi":"10.1097/GRF.0000000000000995","DOIUrl":"https://doi.org/10.1097/GRF.0000000000000995","url":null,"abstract":"","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":"69 1","pages":"45-46"},"PeriodicalIF":1.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146040532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician's Guide to the Evolving Landscape. 通过人工智能改变妇科癌症治疗：临床医生对不断发展的景观的指导。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2025-12-09 DOI: 10.1097/GRF.0000000000000985
Andrew Polio, Vincent M Wagner
{"title":"Transforming Gynecologic Cancer Care Through Artificial Intelligence: A Clinician's Guide to the Evolving Landscape.","authors":"Andrew Polio, Vincent M Wagner","doi":"10.1097/GRF.0000000000000985","DOIUrl":"10.1097/GRF.0000000000000985","url":null,"abstract":"<p><p>Artificial intelligence (AI) is rapidly reshaping gynecologic oncology across the continuum of care. This clinician-focused review synthesizes current evidence for AI-enabled prevention and screening (HPV-informed risk models, AI-assisted colposcopy), early detection and diagnosis (radiomics, liquid biopsy, and digital pathology), prognosis and risk prediction (multimodal models integrating clinical, imaging, histology, and genomics), and treatment guidance (surgical planning and response-predictive therapeutics). Across domains, deep learning and emerging multimodal models consistently match or surpass conventional approaches, offering gains in accuracy, speed, and reproducibility while enabling biologically informed decision support. We outline practical pathways for clinical integration, human-in-the-loop workflows, explainable outputs, and ethical and regulatory guardrails. Priority future directions include rigorous prospective trials, real-world performance tracking, and equity-centered deployment to ensure benefits generalize across diverse populations. Taken together, AI has the potential to enhance precision, consistency, and access in gynecologic cancer care, not by replacing clinicians, but by augmenting expertise at scale.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"18-25"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145707624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the Role of Artificial Intelligence in Fetal Medicine: Opportunities, Evidence, and Challenges, A Narrative Review. 评估人工智能在胎儿医学中的作用：机遇、证据和挑战。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2025-12-04 DOI: 10.1097/GRF.0000000000000981
Emrah Aydin, Hiba J Mustafa
{"title":"Evaluating the Role of Artificial Intelligence in Fetal Medicine: Opportunities, Evidence, and Challenges, A Narrative Review.","authors":"Emrah Aydin, Hiba J Mustafa","doi":"10.1097/GRF.0000000000000981","DOIUrl":"10.1097/GRF.0000000000000981","url":null,"abstract":"<p><p>Artificial intelligence has emerged as a promising tool in fetal medicine, with applications in prenatal imaging, anomaly detection, and biometric analysis. Peer-reviewed studies have reported high accuracy for AI models in identifying congenital heart defects, segmenting brain structures, and predicting fetal growth patterns. Despite strong retrospective performance, most tools remain investigational due to limited external validation, lack of explainability, and poor integration with clinical workflows. This review synthesizes current evidence on AI applications in fetal diagnostics, highlights both capabilities and limitations, and outlines future directions needed for safe and effective clinical translation.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":"69 1","pages":"70-74"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146040583","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Artificial Intelligence in Fetal MRI: Principles, Applications, Limitations, and Future Directions. 人工智能在胎儿MRI中的应用：原理、应用、局限性和未来方向。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2025-12-24 DOI: 10.1097/GRF.0000000000000987
Romain Corroenne, Laurence Bussieres, David Grevent, Laurent J Salomon
{"title":"Artificial Intelligence in Fetal MRI: Principles, Applications, Limitations, and Future Directions.","authors":"Romain Corroenne, Laurence Bussieres, David Grevent, Laurent J Salomon","doi":"10.1097/GRF.0000000000000987","DOIUrl":"10.1097/GRF.0000000000000987","url":null,"abstract":"<p><p>Artificial intelligence (AI) offers solutions to overcome limitations of fetal MRI, including motion, low signal-to-noise ratio, and slice misregistration. This review summarizes current AI applications in fetal MRI, focusing on image enhancement, automated segmentation, quantitative analysis, and emerging multimodal approaches. AI improves reconstruction, denoising, motion correction, and volumetric assessment, and supports tasks such as gestational-age estimation and anomaly detection. However, most studies rely on small, single-center data sets with limited external validation. Robust multicenter data, standardized protocols, and transparent evaluation frameworks are required before AI can be reliably integrated into routine prenatal imaging.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"75-81"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145818084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AI in Reproductive Medicine: Hope or Hype? 人工智能在生殖医学：希望还是炒作？
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2025-12-16 DOI: 10.1097/GRF.0000000000000983
Shruti Agarwal, Alexander M Quaas, Mark P Trolice
{"title":"AI in Reproductive Medicine: Hope or Hype?","authors":"Shruti Agarwal, Alexander M Quaas, Mark P Trolice","doi":"10.1097/GRF.0000000000000983","DOIUrl":"10.1097/GRF.0000000000000983","url":null,"abstract":"<p><p>Artificial intelligence (AI) is increasingly used in reproductive endocrinology and infertility (REI), influencing nearly all aspects of assisted reproduction. Reported applications include ovarian stimulation, gamete and embryo assessment, endometrial evaluation, and prediction of IVF outcomes. These tools may reduce subjectivity, standardize grading, and provide individualized prognostic information. Predictive models for fertilization, implantation, miscarriage risk, and live birth have been developed, along with decision-support tools for embryo transfer and treatment continuation. However, most studies are retrospective and limited to intermediate outcomes. Concerns about generalizability, transparency, accountability, and equity remain. AI represents both hope and hype, pending rigorous, outcome-based validation.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"6-12"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145803396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
From Bytes to Bedside: Exploring the Impact of AI on Medicine and Education. 从字节到床边：探索人工智能对医学和教育的影响。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2025-12-12 DOI: 10.1097/GRF.0000000000000982
Abigail Ford Winkel, Olivia Myrick, Maria Smith, Marc Triola
{"title":"From Bytes to Bedside: Exploring the Impact of AI on Medicine and Education.","authors":"Abigail Ford Winkel, Olivia Myrick, Maria Smith, Marc Triola","doi":"10.1097/GRF.0000000000000982","DOIUrl":"10.1097/GRF.0000000000000982","url":null,"abstract":"<p><p>The rapid evolution of generative artificial intelligence (AI) is poised to transform medicine and medical education. Large language models (LLMs) have begun to demonstrate capabilities in reasoning, diagnosis, documentation, and patient communication that can rival or exceed those of clinicians. In medical education, AI is reshaping how students learn and how faculty teach-offering individualized, context-sensitive guidance at scale. This article outlines the current state of AI integration in health care, examines how systems can responsibly implement it to enhance patient care and education, and raises critical questions about ethics and safety as we harness its transformative potential.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"2-5"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145741413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hybrid Maternity Care and Impact on Pregnancy Outcomes: A Systematic Review and Meta-Analysis. 混合产科护理和对妊娠结局的影响：一项系统回顾和荟萃分析。
IF 1.5 4区 医学
Clinical obstetrics and gynecology Pub Date : 2026-03-01 Epub Date: 2026-01-06 DOI: 10.1097/GRF.0000000000000988
Elena D'Alberti, Antonella Giancotti, Moshe Hod, Aris T Papageorghiou, Daniele Di Mascio
{"title":"Hybrid Maternity Care and Impact on Pregnancy Outcomes: A Systematic Review and Meta-Analysis.","authors":"Elena D'Alberti, Antonella Giancotti, Moshe Hod, Aris T Papageorghiou, Daniele Di Mascio","doi":"10.1097/GRF.0000000000000988","DOIUrl":"10.1097/GRF.0000000000000988","url":null,"abstract":"<p><p>This study aimed to systematically evaluate the impact of hybrid antenatal care models (structured integration of in-person and remote visits) on adverse perinatal and maternal outcomes compared with traditional care. MEDLINE, CINAHL, Scopus, ClinicalTrials.gov, and the Cochrane Library were searched from inception to November 8, 2025. Studies comparing hybrid antenatal care with standard care were included. Primary outcome was stillbirth; secondary outcomes included small-for-gestational-age (SGA) at birth or fetal growth restriction (FGR), preterm birth (PTB) <37 weeks, cesarean delivery, preeclampsia with severe features, and neonatal intensive care unit (NICU) admission. Pooled odds ratios (ORs) were calculated using random-effects meta-analysis models with 95% CI and quantification of I2 statistics. Eight studies, encompassing 159.303 pregnancies, met the inclusion criteria. Of these, 60.987 (38.3%) received hybrid antenatal care, and 98.316 (61.7%) received traditional care. The incidence of stillbirth did not differ significantly between models (OR: 0.95; 95% CI: 0.76-1.19). Similarly, no differences were observed in SGA/FGR (OR: 0.99; 95% CI: 0.88-1.11), NICU admission (OR: 0.95; 95% CI: 0.86-1.05), PTB <37 weeks (OR: 1.01; 95% CI: 0.95-1.07), and preeclampsia with severe features (OR: 1.08; 95% CI: 0.94-1.23). A significant increase in cesarean delivery was observed among patients receiving hybrid care (OR: 1.08; 95% CI: 1.02-1.13). The latter achieves maternal and perinatal outcomes comparable to standard care models. Responsible implementation grounded in ethics, equity, and standardization might in the future reshape traditional maternity care.</p>","PeriodicalId":10415,"journal":{"name":"Clinical obstetrics and gynecology","volume":" ","pages":"47-53"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145910695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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