Search Results (503)

Background: Artificial intelligence (AI) and machine learning (ML) have been reshaping maternal, fetal, neonatal, and reproductive healthcare by enhancing risk prediction, diagnostic accuracy, and operational efficiency across the perinatal continuum. However, no comprehensive synthesis has yet been published. Objective: To conduct a scoping review of reviews of AI/ML applications spanning reproductive, prenatal, postpartum, neonatal, and early child-development care. Methods: We searched PubMed, Embase, the Cochrane Library, Web of Science, and Scopus through April 2025. Two reviewers independently screened records, extracted data, and assessed methodological quality using AMSTAR 2 for systematic reviews, ROBIS for bias assessment, SANRA for narrative reviews, and JBI guidance for scoping reviews. Results: Thirty-nine reviews met our inclusion criteria. In preconception and fertility treatment, convolutional neural network-based platforms can identify viable embryos and key sperm parameters with over 90 percent accuracy, and machine-learning models can personalize follicle-stimulating hormone regimens to boost mature oocyte yield while reducing overall medication use. Digital sexual-health chatbots have enhanced patient education, pre-exposure prophylaxis adherence, and safer sexual behaviors, although data-privacy safeguards and bias mitigation remain priorities. During pregnancy, advanced deep-learning models can segment fetal anatomy on ultrasound images with more than 90 percent overlap compared to expert annotations and can detect anomalies with sensitivity exceeding 93 percent. Predictive biometric tools can estimate gestational age within one week with accuracy and fetal weight within approximately 190 g. In the postpartum period, AI-driven decision-support systems and conversational agents can facilitate early screening for depression and can guide follow-up care. Wearable sensors enable remote monitoring of maternal blood pressure and heart rate to support timely clinical intervention. Within neonatal care, the Heart Rate Observation (HeRO) system has reduced mortality among very low-birth-weight infants by roughly 20 percent, and additional AI models can predict neonatal sepsis, retinopathy of prematurity, and necrotizing enterocolitis with area-under-the-curve values above 0.80. From an operational standpoint, automated ultrasound workflows deliver biometric measurements at about 14 milliseconds per frame, and dynamic scheduling in IVF laboratories lowers staff workload and per-cycle costs. Home-monitoring platforms for pregnant women are associated with 7–11 percent reductions in maternal mortality and preeclampsia incidence. Despite these advances, most evidence derives from retrospective, single-center studies with limited external validation. Low-resource settings, especially in Sub-Saharan Africa, remain under-represented, and few AI solutions are fully embedded in electronic health records. Conclusions: AI holds transformative promise for perinatal care but will require prospective multicenter validation, equity-centered design, robust governance, transparent fairness audits, and seamless electronic health record integration to translate these innovations into routine practice and improve maternal and neonatal outcomes. Full article

Maternal and child health during pregnancy is an important issue in global public health, and the classification accuracy of fetal cardiotocography (CTG), as a key tool for monitoring fetal health during pregnancy, is directly related to the effectiveness of early diagnosis and intervention. Due to the serious category imbalance problem of CTG data, traditional models find it challenging to take into account a small number of categories of samples, increasing the risk of leakage and misdiagnosis. To solve this problem, this paper proposes a two-step innovation: firstly, we design a method of adaptive adjustment of misclassification loss function weights (MAAL), which dynamically identifies and increases the focus on misclassified samples based on misclassification rates. Secondly, a primary and secondary correction network model (MAC-NET) is constructed to carry out secondary correction for the misclassified samples of the primary model. Experimental results show that the method proposed in this paper achieves 99.39% accuracy on the UCI publicly available fetal health dataset, and also obtains excellent performance on other domain imbalance datasets. This demonstrates that the model is not only effective in alleviating the problem of category imbalance, but also has very high clinical utility. Full article

Prenatal and postnatal skeletal muscle development in ruminants is coordinated by interactions between genetic, nutritional, epigenetic, and endocrine factors. This review focuses on the influence of maternal nutrition during gestation on fetal myogenesis, satellite cell dynamics, and myogenic regulatory factors expression, including MYF5, MYOD1, and MYOG. Studies in sheep and cattle indicate that nutrient restriction or overnutrition alters muscle fiber number, the cross-sectional area, and the transcriptional regulation of myogenic genes in offspring. Postnatally, muscle hypertrophy is primarily mediated by satellite cells, which are activated via PAX7, MYOD, and MYF5, and regulated through mechanisms such as CARM1-induced chromatin remodeling and miR-31-mediated mRNA expression. Hormonal signaling via the GH–IGF1 axis and thyroid hormones further modulate satellite cell proliferation and protein accretion. Genetic variants, such as myostatin mutations in Texel sheep and Belgian Blue cattle, enhance muscle mass but may compromise reproductive efficiency. Nutritional interventions, including the plane of nutrition, supplementation strategies, and environmental stressors such as heat and stocking density, significantly influence muscle fiber composition and carcass traits. This review provides a comprehensive overview of skeletal muscle programming in ruminants, tracing the developmental trajectory from progenitor cell differentiation to postnatal growth and maturation. These insights underscore the need for integrated approaches combining maternal diet optimization, molecular breeding, and precision livestock management to enhance muscle growth, meat quality, and production sustainability in ruminant systems. Full article

Pregnancy rhinitis (PR) is a transient, non-infectious nasal condition affecting a significant number of pregnant women, yet often remains underdiagnosed or misclassified. It can substantially impact maternal quality of life, sleep, and even fetal oxygenation. This narrative review explores the current understanding of PR, including hormonal and vascular mechanisms, clinical criteria, and therapeutic approaches considered safe during pregnancy. Despite increasing recognition, the differentiation between PR and other rhinitis forms remains challenging. Limited therapeutic options and the absence of standard diagnostic guidelines further complicate management. Evidence supports a multifactorial etiology involving estrogen, progesterone, and placental growth factors. Non-pharmacologic strategies are first-line, while pharmacological interventions are cautiously employed. PR is a distinct and clinically relevant condition requiring increased awareness among ENT and obstetric professionals. Future research should focus on standardized diagnostic criteria and evidence-based treatment protocols to improve maternal–fetal outcomes. Full article

Spinal muscular atrophy (SMA) is a severe autosomal recessive neuromuscular disorder and a leading genetic cause of infant mortality. Advances in disease-modifying therapies have significantly improved outcomes when treatment is initiated early, underscoring the importance of timely diagnosis. With the growing availability of prenatal genetic screening and high-resolution molecular diagnostics, opportunities for early detection, and potentially in utero intervention, are rapidly expanding. This narrative review synthesizes current evidence on the prenatal management of SMA, focusing on diagnostic strategies, the clinical application of fetal genetic testing, and the emerging potential of fetal therapy. We explore both invasive and non-invasive diagnostic approaches and evaluate experimental prenatal treatment modalities, while critically addressing the associated ethical, regulatory, and economic considerations. As the field progresses, integrating in utero strategies into clinical care may reshape perinatal medicine and offer transformative potential for genetic neurodegenerative disorders diagnosed before birth. The convergence of early diagnosis, fetal intervention, and personalized genetic counseling will be central to optimizing care pathways and outcomes in the era of precision medicine. Although significant challenges remain, the translation of fetal therapy into routine clinical practice is approaching feasibility. Future clinical trials, anchored in definitive prenatal diagnosis, will be essential, with benefits potentially outweighing the inherent procedural risks. Full article

Background/Objectives: Gestational diabetes (GD), which affects approximately 15% of pregnancies worldwide, poses significant risks to both maternal and fetal health, underscoring the need for effective prevention and management strategies. This umbrella review aims to evaluate the role of probiotics in the prevention of GD. Methods: The review was conducted in accordance with the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis. A comprehensive literature search was performed in November 2024 across four databases: PubMed/Medline, Cochrane Library, Embase, and CINAHL. A total of 307 articles were identified, of which 6 met the inclusion criteria and were included in the final synthesis. Results: Probiotic supplementation was associated with a significant reduction in the incidence of GD in selected populations, particularly in women with a body mass index (BMI) < 26, age < 30 years [Relative Risk (RR): 0.58], and p < 0.05 in the other studies included, alongside improvements in several metabolic parameters. However, consistent benefits on maternal or neonatal complications were not observed but a 33% reduction in GD was confirmed (RR 0.67). The combination of probiotics with healthy lifestyle behaviors appeared to exert a stronger protective effect against GD and its potential complications. Conclusions: This umbrella review suggests that probiotics—particularly multi-strain formulations—may have a potential role in reducing the risk of GD in certain populations. However, the findings across the included studies are inconsistent and sometimes conflicting. While probiotics are generally considered safe and have recognized benefits for metabolic health, their efficacy as an adjunct intervention for GD prevention remains not fully clear. Further well-designed research is needed to clarify which specific probiotic interventions may be effective and to better guide clinical practice. Full article

Preeclampsia (PE) is a pregnancy-specific hypertensive disorder characterized by systemic inflammation, endothelial dysfunction, and placental insufficiency. While inadequate trophoblast invasion and impaired spiral artery remodeling have long been recognized as central to its pathogenesis, emerging evidence underscores the critical roles of dysregulated iron metabolism and its crosstalk with immune responses, particularly macrophage-mediated inflammation, in driving PE development. This review systematically explores the dynamic changes in iron metabolism during pregnancy, including increased maternal iron demand, placental iron transport mechanisms, and the molecular regulation of placental iron homeostasis. We further explore the contribution of ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, to trophoblast dysfunction and pregnancy-related diseases, including PE. Macrophages, pivotal immune regulators at the maternal–fetal interface, exhibit distinct polarization states that shape tissue remodeling and immune tolerance. We outline their origin, distribution, and polarization in pregnancy, and emphasize their aberrant phenotype and function in PE. The bidirectional crosstalk between iron and macrophages is also dissected: iron shapes macrophage polarization and function, while macrophages reciprocally modulate iron homeostasis. Notably, excessive reactive oxygen species (ROS) and pro-inflammatory cytokines secreted by M1-polarized macrophages may exacerbate trophoblast ferroptosis, amplifying placental injury. Within the context of PE, we delineate how iron overload and macrophage dysfunction synergize to potentiate placental inflammation and oxidative stress. Key iron-responsive immune pathways, such as the HO-1/hepcidin axis and IL-6/TNF-α signaling, are discussed in relation to disease severity. Finally, we highlight promising therapeutic strategies targeting the iron–immune axis, encompassing three key modalities—iron chelation therapy, precision immunomodulation, and metabolic reprogramming interventions—which may offer novel avenues for PE prevention and treatment. Full article

Pregnant individuals who receive a fetal anomaly diagnosis experience significantly elevated rates of depression, anxiety, and traumatic stress—up to four to six times higher than those for individuals with low-risk pregnancies. In low-risk pregnancies, perinatal mental health conditions are the leading cause of maternal mortality and are associated with adverse birth outcomes, including preterm birth and low birth weight. These risks are likely compounded in pregnancies involving fetal anomalies due to the intersecting psychological and social burdens that complicate maternal well-being and access to care. However, there is a critical gap in understanding how these mental health symptoms translate into diagnoses, treatments, and outcomes due to the absence of a validated screening tool tailored to this population’s unique psychosocial needs. This perspective article reviews evidence, highlights the urgent need for specialized screening, and introduces ongoing research aimed at developing and validating an instrument that integrates both mental health symptoms and broader psychosocial distress. By bridging this gap, structured psychosocial screening has the potential to improve care coordination, facilitate earlier intervention, and mitigate long-term distress for individuals navigating pregnancies affected by fetal anomalies. Full article

Intrauterine growth restriction (IUGR) is a critical challenge in perinatal medicine and is associated with significant morbidity and mortality. This review explores the intricate involvement of early developmental senescence in IUGR. We highlight the dual role of cellular senescence in both normal development and pathological conditions, emphasizing the need for further research to elucidate these mechanisms and develop targeted interventions. We discuss how oxidative stress and mitochondrial dysfunction affect senescence determinants. We present emerging therapeutic strategies aimed at targeting senescence and inflammation in the placenta. We also introduce Rytvela, an interleukin-1 (IL-1) receptor modulator developed in our laboratory, which selectively attenuates pro-inflammatory signaling while preserving essential immune responses, which in turn mitigate senescence. By addressing senescence-related dysfunctions, such interventions may improve placental performance and fetal outcomes, opening up new directions for the clinical management of IUGR. Full article

Background: Histologic chorioamnionitis (HCA) is a placental inflammatory condition characterized by neutrophilic infiltration of the fetal membranes, often occurring without overt clinical signs or symptoms. Risk factors include prolonged labor, premature rupture of membranes (PROM) exceeding 12 h, nulliparity, labor dystocia, and lower socioeconomic status. Although HCA frequently presents as a subclinical condition, its early diagnosis remains challenging. Nevertheless, HCA is associated with an increased risk of maternal and neonatal morbidity, including early-onset neonatal sepsis, cerebral palsy, and long-term neurodevelopmental impairment. We report the case of a 29-year-old primigravida at 40 + 0 weeks of gestation, admitted for decreased fetal movements. Discussion: Cardiotocographic (CTG) monitoring revealed a “zigzag pattern” in the absence of maternal fever, leukocytosis, or tachycardia. Due to the CTG findings suggestive of possible fetal compromise, in addition to reduced fetal movements, an emergency cesarean section was performed. Intraoperative findings included heavily meconium-stained amniotic fluid, then the examination of the placenta confirmed acute HCA with a maternal inflammatory response, without evidence of fetal inflammatory response. Conclusion: This case highlights the crucial role of CTG abnormalities, particularly the “zigzag pattern,” as an early marker of subclinical intrauterine inflammation. Early recognition of such patterns may facilitate timely intervention and improve perinatal outcomes in cases of histologic chorioamnionitis. Full article

Background: Hypotension following epidural labor analgesia (ELA) is its most common complication, affecting approximately 20% of patients and posing risks to both maternal and fetal health. As digital tools and predictive analytics increasingly shape perioperative and obstetric anesthesia practices, real-world implementation data are needed to guide their integration into clinical care. Current monitoring practices rely on intermittent non-invasive blood pressure (NIBP) measurements, which may delay recognition and treatment of hypotension. The Hypotension Prediction Index (HPI) algorithm uses continuous arterial waveform monitoring to predict hypotension for potentially earlier intervention. This clinical trial evaluated the feasibility, acceptability, and efficacy of continuous HPI-guided treatment in reducing time-to-treatment for ELA-associated hypotension and improving maternal hemodynamics. Methods: This was a prospective randomized controlled trial design involving healthy pregnant individuals receiving ELA. Participants were randomized into two groups: Group CM (conventional monitoring with NIBP) and Group HPI (continuous noninvasive blood pressure monitoring). In Group HPI, hypotension treatment was guided by HPI output; in Group CM, treatment was based on NIBP readings. Feasibility, appropriateness, and acceptability outcomes were assessed among subjects and their bedside nurse using the Acceptability of Intervention Measure (AIM), Intervention Appropriateness Measure (IAM), and Feasibility of Intervention Measure (FIM) instruments. The primary efficacy outcome was time-to-treatment of hypotension, defined as the duration between onset of hypotension and administration of a vasopressor or fluid therapy. This outcome was chosen to evaluate the clinical responsiveness enabled by HPI monitoring. Hypotension is defined as a mean arterial pressure (MAP) < 65 mmHg for more than 1 min in Group CM and an HPI threshold < 75 for more than 1 min in Group HPI. Secondary outcomes included total time in hypotension, vasopressor doses, and hemodynamic parameters. Results: There were 30 patients (Group HPI, n = 16; Group CM, n = 14) included in the final analysis. Subjects and clinicians alike rated the acceptability, appropriateness, and feasibility of the continuous monitoring device highly, with median scores ≥ 4 across all domains, indicating favorable perceptions of the intervention. The cumulative probability of time-to-treatment of hypotension was lower by 75 min after ELA initiation in Group HPI (65%) than Group CM (71%), although this difference was not statistically significant (log-rank p = 0.66). Mixed models indicated trends that Group HPI had higher cardiac output (β = 0.58, 95% confidence interval −0.18 to 1.34, p = 0.13) and lower systemic vascular resistance (β = −97.22, 95% confidence interval −200.84 to 6.40, p = 0.07) throughout the monitoring period. No differences were found in total vasopressor use or intravenous fluid administration. Conclusions: Continuous monitoring and precision hypotension treatment is feasible, appropriate, and acceptable to both patients and clinicians in a labor and delivery setting. These hypothesis-generating results support that HPI-guided treatment may be associated with hemodynamic trends that warrant further investigation to determine definitive efficacy in labor analgesia contexts. Full article

Introduction: Fetal ovarian cysts are known to be a common form of fetal abdominal masses in female fetuses, often resulting from hormonal stimulation in utero. Although many resolve spontaneously without sequelae, others can develop into more complex pathologies, such as intracystic hemorrhage or torsion, which can compromise ovarian integrity and long-term reproductive outcomes. Early detection and appropriate follow-up evaluation are therefore crucial for optimal perinatal management. Materials and Methods: We conducted a retrospective study of 12 cases of fetal ovarian cysts diagnosed by routine prenatal ultrasound examinations over a two-year period at our institution. Inclusion criteria were the presence of a cystic adnexal lesion detected in utero, detailed prenatal ultrasound documentation, and a comprehensive postnatal examination. Sonographic features such as cyst size, internal echogenicity, and signs of vascular compromise were recorded. The mother’s clinical variables, including gestational age at diagnosis and relevant medical conditions, were noted. Postnatal follow-up evaluation consisted of ultrasound examinations and, if indicated, pediatric surgical consultation. Results: Of the 12 cases, 9 were characterized by a simple cystic morphology. All spontaneously regressed postnatally and did not require surgical intervention. Three were defined as complex cysts showing septations or echogenic deposits; one of these cysts required immediate surgical exploration for suspected torsion. No cases with a malignant background were identified. All infants showed a favorable course with normal growth and development until follow-up evaluation. Conclusions: This series emphasizes that most fetal ovarian cysts are benign and often resolve without intervention, highlighting the benefit of systematic prenatal imaging. Nevertheless, complex or large cysts require close prenatal and neonatal monitoring to diagnose complications such as torsion. Full article

Background: Folic acid is essential for DNA synthesis and fetal development, with deficiency linked to anemia, cardiovascular disease and pregnancy complications. The clinical guidelines for women of reproductive age mandate supplementation as a universal preventive treatment regardless of blood folic acid levels; therefore, routine folic acid level testing is not recommended for this population. However, the vast majority of pregnant women do not implement the recommended preventive actions, indicating that new strategies are needed to improve that situation. Objectives: This study examined the impact of modifying the laboratory test-ordering interface in the medical record system, designed to simplify the ordering of folic acid level tests, on testing rates, deficiency detection and supplement consumption among women of reproductive age. Methods: This retrospective cohort analysis compared outcomes reflecting the impact of the modification on 43,952 women aged 18–42 years, assessed over one year pre- and post-integration. Statistical analyses included Chi-squared tests and logistic regression, with adjustments for age and socio-geographic status. Results: Post-intervention, testing rates increased from 14.74% to 17.35% (p < 0.0001), and deficiency detection rose from 6.30% to 7.38% (p < 0.0001). Supplement consumption tripled from 5.45% to 15.98% (p < 0.0001), with 91.37% of post-intervention consumers being new users. Conclusions: Modifying the presentation of tests in the laboratory test-ordering interface within electronic medical records significantly improved testing rates, enhanced deficiency detection and had a meaningful impact on treatment outcomes. These findings underscore the potential of system-level digital interventions to advance preventive care and overall health. Future research should focus on examining scalability, implementation and long-term outcomes across diverse healthcare settings. Full article

Background/Objective: Preeclampsia (PE) remains a leading cause of maternal and fetal morbidity and mortality. Early prediction is crucial for timely intervention and management. The ophthalmic artery (OA) Doppler assessment in the first trimester has emerged as a potential tool for predicting PE, particularly early PE, with delivery <37 weeks of gestation. This study aimed to evaluate and compare the relationship of ophthalmic artery Doppler parameters at 11–13 weeks of gestation with the subsequent development of early and late PE. Methods: A prospective observational analysis was conducted on 4054 pregnant women, including 114 who developed PE. OA Doppler assessment of the pulsatility index (PI) and peak systolic velocity (PSV) ratio, mean arterial pressure (MAP), uterine artery PI (UtA-PI), and serum placental growth factor (PlGF) were compared between women who later developed early PE and late PE with those who did not develop PE. Results: In the PE groups, particularly those with early PE, compared to the no PE group, the OA PSV ratio and UtA-PI were higher and PlGF was lower. Conclusion: A first-trimester OA Doppler assessment shows promise as a non-invasive method for the prediction of PE. Further prospective, multicenter studies are needed to validate these findings. Full article

Transverse fetal head position during labor is associated with increased rates of operative deliveries and cesarean sections. Traditional assessment methods rely on digital examination, which can be inaccurate in cases of prolonged labor. Intrapartum ultrasound offers improved diagnostic capabilities, but standardized interpretation frameworks are needed. This study aimed to evaluate the significance of appropriate assessment and management of transverse fetal head position during labor, with particular emphasis on the correlation between geometric parameters and delivery outcomes. Additionally, the investigation analyzed the potential role of Artificial Intelligence Dystocia Algorithm (AIDA) as an innovative decision support system in standardizing diagnostic approaches and optimizing clinical decision-making in cases of fetal malposition. This investigation was conducted as a focused secondary analysis of data originally collected for the development and validation of the Artificial Intelligence Dystocia Algorithm (AIDA). The study examined 66 cases of transverse fetal head position from a cohort of 135 nulliparous women with prolonged second-stage labor across three Italian hospitals. Cases were stratified by Midline Angle (MLA) measurements into classic transverse (≥75°), near-transverse (70–74°), and transitional (60–69°) positions. Four geometric parameters (Angle of Progression, Head–Symphysis Distance, Midline Angle, and Asynclitism Degree) were evaluated using the AIDA classification system. The predictive capabilities of three machine learning algorithms (Support Vector Machine, Random Forest, and Multilayer Perceptron) were assessed, and delivery outcomes were analyzed. The AIDA system successfully categorized labor dystocia into five distinct classes, with strong predictive value for delivery outcomes. A clear gradient of cesarean delivery risk was observed across the spectrum of transverse positions (100%, 93.1%, and 85.7% for near-transverse, classic transverse, and transitional positions, respectively). All cases classified as AIDA Class 4 required cesarean delivery regardless of the specific MLA value. Machine learning algorithms demonstrated high predictive accuracy, with Random Forest achieving 95.5% overall accuracy across the study cohort. The presence of concurrent asynclitism with transverse position was associated with particularly high rates of cesarean delivery. Among the seven cases that achieved vaginal delivery despite transverse positioning, none belonged to the classic transverse positions group, and five (71.4%) exhibited at least one parameter classified as favorable. The integration of artificial intelligence through AIDA as a decision support system, combined with intrapartum ultrasound, offered a promising approach for objective assessment and management of transverse fetal head position. The AIDA classification system’s integration of multiple geometric parameters, with particular emphasis on precise Midline Angle (MLA) measurement in degrees, provided superior predictive capability for delivery outcomes compared to qualitative position assessment alone. This multidimensional approach enabled more personalized and evidence-based management of malpositions during labor, potentially reducing unnecessary interventions while identifying cases where expectant management might be futile. Further prospective studies are needed to validate the predictive capability of this decision support system and its impact on clinical decision-making in real-time labor management. Full article