OBJECTIVES:To compare fetal sylvian fissure (SF) maturation between normal controls and fetuses with congenital heart disease (CHD), and to investigate the relationship between SF development and expected cerebral arterial oxygen saturation (SaO2) levels. METHODS:This was a retrospective longitudinal study in singleton pregnancies, including 442 cases with CHD and 446 normal fetuses. Fetuses with isolated CHD were further categorized into two groups according to the expected level of cerebral arterial SaO2: normal to mildly reduced and moderate to severely reduced. Fetal ultrasound images obtained after 19 weeks' gestational age (GA) were analyzed. Measurements included biparietal diameter (BPD), head circumference (HC), SF depth, and insula depth. RESULTS:Significant differences in SF depth/insula depth ratio were observed between isolated and different subtypes of nonisolated CHD (PFDR< 0.01). The SF depth/insula depth ratio demonstrated a consistently lower trend in the isolated CHD group than in the control group, with a progressive reduction as cerebral arterial SaO2 worsened in the CHD cohort (PFDR < 0.001). CONCLUSIONS:Delayed SF development in fetuses with CHD may be associated with the expected cerebral arterial SaO2 reduction. Prenatal cortical folding can be reliably assessed by the SF depth/insula depth ratio or the SF depth/HC ratio.

We previously constructed a qualitative, 3D ultrasound derived atlas of the normative spatiotemporal dynamics of fetal brain maturation. Here, using the same healthy multi-national cohort, we applied deep learning methods to 4205 fetal brain scans from 18-27 weeks' gestation, to produce an extensive, quantitative description of the growth of 16 fetal brain structures associated with satisfactory domain-specific neurodevelopmental scores at 2 years of age. The methodology, which is publicly available, takes less than 10 seconds per scan. We define 28 region-specific, functionally relevant, normative growth trajectories, a ratio between the relative volumes of the insular (rILV) and parietal (rPLV) lobes reflecting asynchronous maturation of fetal brain regions, and introduce a fetal brain maturation index that quantifies biological age and deviations from chronological age. Finally, the very low percentage of variance explained by between site differences (0.6% to 5.8% of the total variance) reinforces a fundamental biological principle: fetal growth and development across populations with diverse ancestries is similar provided that environmental constraints on growth are minimal.

In our previous studies, differences in the upper airway inner diameter between fetuses with thoracic space occupying lesions and normal fetuses were found, but their clinical value has not been further validated. We designed a prospective case–control animal experiment to validate its prognostic value in congenital diaphragmatic hernia (CDH). Using Nitrofen to create a fetal SD-rat model of CDH. Calculate the upper airway inner diameter and lung parameters of fetal rats on ultrasonic image and histology sections, and calculate the correlation between the upper airway and lung parameters. Design experiments to rule out the impact of major cardiac malformations on airway development, the correlation between the upper airway inner diameter and the area of CDH was also calculated. There was no significant difference in lung and upper airway parameters between the control group and the group with unsuccessful CDH modeling. The upper airway and lung parameters of fetal rat with CDH were significantly smaller than those without CDH (p < 0.01). The correlation between upper airway inner diameter and lung volume is better than that with lung weight, especially the upper airway inner diameter measured on ultrasound images (p < 0.01, R = 0.76). In the CDH group, the airway lumen diameter was inversely correlated with the hernia area (p = 0.005, R = 0.507). The upper airway inner diameter of fetal rat was correlated with lung volume, demonstrating the potential predictive value for fetal prognosis of congenital diaphragmatic hernia.

Assessing the size of twins at birth using charts developed for singletons may over diagnose small for gestational age in this sub-population. The study aimed to produce international, twin-specific, newborn size normative charts by gestational age and sex. This longitudinal observational study in eight geographically diverse settings prospectively collected data between May 2009 and August 2013 from healthy pregnant women and their newborn twins. The participants were enrolled as part of the INTERGROWTH-21st study, and recruited based on World Health Organization recommendations for evaluation of anthropometric measures. All the women met, in addition to the underlying population characteristics of low perinatal risk, strict individual criteria for a population at low risk of impaired fetal growth. Newborn weight, length and head circumference measures were collected independently in duplicate by two trained anthropometrists within 12 hours of birth using identical equipment and protocols at all sites. From 1034 multiple pregnancies, after exclusions of condition such as smoking, high maternal BMI, and congenital malformations, the final sample was 864 twin newborns. Most of the twins were below the 50th centile of the INTERGROWTH-21st standards for singletons. We present international newborn size normative charts for twins using the same methodological approach adopted to construct the singleton standards.

OBJECTIVE:Glutaric acidemia type 1 (GA-1) is a severe, life-threatening organic acidemia. This study aimed to evaluate fetal ultrasound findings as early clues for GA-1. METHODS:A GA-1 case identified via newborn screening in Beijing and confirmed by exome sequencing was analyzed. His prenatal ultrasound records were retrospectively reviewed. A scoping review was performed following PRISMA-ScR guidelines to identify fetal GA-1 cases with prenatal imaging data from PubMed, Embase, and Scopus. Findings were summarized using the terminology reported in the original publications. RESULTS:In the present case, both biparietal diameter (BPD) and head circumference (HC) exceeded the 97th percentile by 32 + 1 week of gestation. At 36 + 1 week, BPD remained above the 97th percentile, while HC was near it. Genetic analysis revealed two novel heterozygous GCDH variants: c.492C > G and c.648G > A. The scoping review identified six fetal GA-1 cases. Reported prenatal abnormalities included macrocephaly (5/6), enlarged Sylvian fissures (3/6), temporal lobe hypoplasia (2/6), cerebrospinal fluid (CSF) widening in the temporal fossa (1/6), and subependymal cysts (2/6). CONCLUSIONS:Specific prenatal cranial findings, particularly fetal macrocephaly, may serve as early clues for GA-1. The diagnostic indication is strengthened when macrocephaly coexists with features such as Sylvian fissure widening. Recognition of these features could facilitate earlier identification and diagnosis of GA-1.

OBJECTIVES:To investigate the changes in fetal cardiac function in pregnant women with well-controlled gestational diabetes mellitus (GDM) using a novel ultrasound technology named HOLO-PW. Secondly, we aim to evaluate the predictive ability of cardiac function parameters for adverse perinatal outcomes and establish an individualized nomogram. METHODS:This study included 122 pregnant women with well-controlled GDM and 256 pregnant women with normal blood glucose. Fetal cardiac function parameters were extracted based on the HOLO-PW technology. The differences between the 2 groups were analyzed. Subgroup analysis was performed in the GDM group according to the pregnancy outcome and fetal growth status. The effectiveness of cardiac function parameters in predicting adverse pregnancy outcomes in GDM was evaluated by receiver operating characteristic (ROC) curves. Independent predictors were identified through logistic regression with LASSO variable selection, and a nomogram was developed. The model's performance was evaluated with ROC analysis, calibration curves, and decision curve analysis (DCA). RESULTS:Compared with the control cohort, the myocardial performance index (MPI), K index (KI), isovolumic contraction time (ICT), and isovolumic relaxation time (IRT) of left and right ventricles were increased in the fetuses of GDM cohort (p < .05). Compared with the appropriate for gestational age (AGA), the fetuses with abnormal growth in the GDM cohort presented significant differences in the cardiac function parameters (p < .05). The incidence of adverse pregnancy outcomes in the GDM cohort was higher than that in the control cohort. The cardiac function parameters of fetuses with adverse and normal perinatal outcomes significantly differed in the GDM cohort (p < .05). We also evaluated the predictive capacity of each heart function parameter for adverse pregnancy outcomes in GDM. The LMPI showed the strongest ability to predict adverse pregnancy outcomes with an AUC of 0.951 (95% CI: 0.909-0.993). A nomogram constructed with the 3 key predictors selected by LASSO regression (LMPI, LKI, and RIRT) demonstrated excellent discrimination, with an AUC of 0.960 (95% CI: 0.924-0.996). The model was well calibrated, and DCA indicated clinical utility. CONCLUSION:Even under well-controlled glycemic conditions, fetal cardiac function is altered in GDM pregnancies. In this cohort, a model based on fetal cardiac function parameters showed good predictive performance for composite adverse perinatal outcomes. However, external validation is required before clinical implementation.

The emerging demands for the most up to guide parents and clinicians in medical decision making for fetuses with congenital diaphragmatic hernia has become an urgent issue. We aimed to analysis the proposal for prenatal assessment of the fetuses with congenital diaphragmatic hernia at a tertiary referral centre in Beijing. The type and frequency of malformations associated with fetuses with congenital diaphragmatic hernia and the factors associated with pregnancy outcome were evaluated. All prenatal congenital diaphragmatic hernia cases detected by ultrasound between July 2017 and December 2022 at the Beijing Obstetrics and Gynecology Hospital were included. The data were compared between the born group and unborn group. The characteristics of the anomalies associated with congenital diaphragmatic hernia cases and the observed-to-expected lung area to head circumference ratio in born group were analysed. The maternal age, gestational age at diagnosis, genetic testing, ultrasound information, and pregnancy outcome were statistically analysed using two independent-sample t-test and χ2 square test. Univariate analysis was performed on the characteristics of these two groups, followed by multivariate analysis . A total of 105 fetuses with congenital diaphragmatic hernia were retrospectively reviewed. Overall mortality rates of isolated and non-isolated congenital diaphragmatic hernia cases in the born group were 34.4

Background:Infectious disease-specific health literacy (IDSHL)-the capacity to obtain, process, and understand basic infectious disease information needed to make appropriate health decisions-is a critical determinant of public health outcomes. The COVID-19 pandemic created an unprecedented global public health education context; yet, its long-term association with population-level IDSHL beyond the pandemic remains unclear. In China, stringent public health measures and digital information campaigns were implemented, yet their lasting impact on IDSHL across different disease domains has not been systematically evaluated over a full pandemic cycle. Objective:This study aimed to evaluate the longitudinal trends in IDSHL among residents of Zhejiang Province, China, from 2019 (prepandemic) to 2024 (postpandemic), and to assess whether the pandemic period was temporally associated with sustained improvements in IDSHL. Methods:Six annual cross-sectional surveys were conducted from 2019 to 2024 across 30 counties in Zhejiang Province using consistent multistage stratified random sampling. A validated 12-item IDSHL questionnaire assessed knowledge, behavior, and skills. Annual sample sizes ranged from 17,131 to 19,257 (N=112,917). Data were weighted to the 2020 census population by age and urban or rural residence. Joinpoint regression identified inflection points in the annual proportion of residents with adequate IDSHL (score≥12). Multivariate logistic regression estimated adjusted odds ratios (ORs) for adequate IDSHL by year, with 2021 as the reference (the peak acute pandemic phase), controlling for sociodemographics. All analyses incorporated sampling weights. Results:Population-weighted overall IDSHL scores increased from 2019 (mean 10.46 SD 3.09) to 2024 (mean 11.40 SD 2.88; P<.001). All subscale scores (knowledge, behavior, and skills) showed upward trends (all P<.001). Joinpoint regression revealed a rapid annual increase in adequate IDSHL during 2019-2021 (annual percent change 9.42%, 95% CI 6.10-13.45; P<.001), which slowed post-2021 (annual percent change 2.28%, 95% CI -0.38 to 3.73; P=.07). Correct response rates surged for pandemic-salient items (eg, respiratory etiquette from 28.44% to 39.67%), while hepatitis B transmission knowledge fluctuated (63.28% in 2019, 60.71% in 2022, 63.84% in 2024), indicating that not all non-COVID-19 content improved monotonically. Adjusted logistic regression showed the lowest odds of adequate IDSHL in 2019 (OR 0.74, 95% CI 0.71-0.78) and highest in 2024 (OR 1.10, 95% CI 1.05-1.15) compared to 2021. Conclusions:The COVID-19 pandemic was temporally associated with significant and sustained population-level improvements in IDSHL, particularly for pandemic-relevant knowledge and behaviors. However, gains were time-sensitive and not uniform across all disease domains or demographic groups. These findings underscore the need for postpandemic health strategies that reinforce comprehensive IDSHL through sustained education and address digital divides to bridge persistent equity gaps. Policymakers should prioritize low digital-literacy populations through hybrid (offline+online) educational interventions, and sustain routine surveillance of IDSHL to detect declines in nonpandemic disease knowledge. This study is the first to document six-year population-level IDSHL trends across the full pandemic cycle, providing evidence for future crisis communication and routine health promotion.

Background:In December 2022, in light of the weakened pathogenicity of the new variants and other scientific considerations, China optimized its zero-COVID policy. As the situation evolved, the virus spread more widely across the country. Objective:This study aims to explore the public's sleep status and its association with purchasing behavior of COVID-19 medicine after the adjustment of zero-COVID policy in China. Methods:A cross-sectional, internet-based survey among residents aged 18-69 years was conducted in Zhejiang province, China, from December 16 to 30, 2022, to collect data on sociodemographic characteristics, COVID-19 drug purchasing behavior, sleep disturbance levels, etc. Chi-square tests, univariate analyses, and multivariate analyses were used to explore the associations among these factors. Results:Out of 38,480 participants, 20,803 (54.1%) reported sleep disruption after China's COVID-19 response policy adjustment. The degree of impact varied, with 10,964 (52.70%) reporting "slight," 3105 (14.93%) "moderate," 3493 (16.79%) "significant," and 3241 (15.58%) "very significant" impacts. Only 20.90% (782/3742) of those who deemed purchasing unnecessary had sleep disruptions, compared to 45.19% (6214/13,752) of those who acquired medications and 65.79% (13,807/20,986) of those who tried but failed to obtain them. Sleep disturbance levels were significantly associated with sociodemographic factors like age, education levels, occupation, marital status, and presence of family members diagnosed with COVID-19 (P<.05). By age, sleep disturbance proportions differed notably: 36.32% (409/1126) for those under 20 years, 54.81% (19,714/35,970) for the 20 to 60 age group, and 49.13% (680/1384) for individuals over 60 years. For education level, the proportions were 57.44% (517/900, primary school), 54.34% (3928 /7229, junior high school), 54.27% (3808/7017, senior high school), 53.99% (11,974/22,180, junior college/undergraduate), and 49.91% (576/1154, master's degree), showing a clear downward trend as education level increased. By occupation, farmers had the highest rate (855/1447, 59.09%), followed by business/service industry workers and stay-at-home/unemployed individuals (13,925/24,750, 56.26%) and government staff (4161/7712, 53.95%), while 1242 out of 3049 (40.73%) health workers and 620 out of 1522 (40.74%) students had lower rates. Married participants had a 55.21% (17,143/31,053) sleep disturbance rate, and those with COVID-positive family members had the highest rate (2023/2873, 70.41%). Multivariate logistic regression, adjusting for these sociodemographic factors, showed that compared to those who thought purchasing COVID-19 medications was unnecessary, those who acquired medications were 3.11 times (adjusted odds ratio 3.11, 95% CI 2.85-3.39) more likely, and those who tried but couldn't get medications were 7.11 times (adjusted odds ratio 7.11, 95% CI 6.53-7.74) more likely to experience sleep disturbance. Conclusions:The adjustment of China's zero-COVID policy affected the sleep health of the public, which was closely linked to drug-purchasing status, especially among the older people, those with lower education levels, and those with family members diagnosed with COVID-19. It highlights the need to develop and deploy interventions aimed at promoting better sleep health in times of crisis.

The awareness level of cervical cancer and its correlates among junior high school students is not well documented. This perspectives is crucial to guide cervical cancer prevention in this population. In 2023, we conducted an anonymous online self-administered questionnaire survey with 4,089 valid participants randomly selected on a class basis from six junior high schools in six counties/districts across three municipalities in Zhejiang Province. Data were analyzed using univariate and multivariate analyses. 63.9

Effective first-trimester screening for congenital heart disease (CHD) remains an unmet clinical need, hindered by technical constraints and the lack of validated diagnostic tools. While artificial intelligence (AI) offers promise, its progress is restricted by data scarcity and privacy concerns surrounding data sharing. Federated learning (FL) offers a promising paradigm for collaborative model training without exposing sensitive patient data. In this study, we establish a Federated Congenital Heart Disease Learning to enable cross-hospital collaboration in early CHD diagnosis. A major challenge arises from inter-hospital heterogeneity, where variations in ultrasound devices, scanning protocols, and patient demographics lead to significant feature distribution shifts, resulting in poor performance. To address this, we introduce federated prototypes that align both clinical concept and disease subtype representations across participating sites, effectively calibrating local updates and enhancing global consistency. Experiments conducted across four tertiary hospitals demonstrate that our method achieves a 10.3% improvement in F1 score, 5.1% increase in sensitivity, and 1.0% improvement in specificity over state-of-the-art federated approaches. These results highlight our effectiveness in improving generalization under real-world clinical heterogeneity. Our implementation and benchmarking resources are publicly available at: https://github.com/WenkeHuang/FLCHD.

Ultrasound has become the primary modality for fetal central nervous system examination and diagnosing malformations. However, the effectiveness of fetal brain examinations remains highly operator-dependent. Deep learning, a key branch of artificial intelligence (AI), has demonstrated significant advantages in image recognition, proving particularly valuable in medical imaging. Consequently, several studies have proposed the use of deep learning models as tools for fetal brain ultrasound examinations. AI has achieved clinical applications in fetal brain ultrasonography, encompassing standard plane recognition, biometric measurements, structural identification, and malformation diagnosis. This review systematically analyzes the applications of AI in fetal brain ultrasound examination and discusses unmet clinical needs and future development.

Background: A multitude of studies have presented inconsistent outcomes regarding the association between maternal folic acid (FA) and/or multivitamin (MV) supplementation and congenital heart disease (CHD) in offspring. This study aimed to estimate supplementation time and CHD based on a prospective China birth cohort study (CBCS). Methods: In the CBCS, 114,670 singleton pregnant women who had pregnancy outcomes until August 2021 and responded to the early pregnancy questionnaire were recruited. The participants were divided into three groups: no FA or MV supplementation, supplementation commencing before pregnancy, and supplementation commencing from early pregnancy. Unadjusted and adjusted logistic regression analyses were employed to calculate the odds ratio (OR) to estimate the relative risk (RR) value of CHD exposure to FA and/or MV. Additionally, the results of this study were combined with previous studies to calculate the pooled RR. Finally, stratification and sensitivity analyses, including the propensity score matching method, were conducted to identify the robustness of the association. Results: Compared with the non-supplemented group, the RRs of CHD in groups with FA and/or MV supplementation, with supplementation before pregnancy, and with supplementation from early pregnancy were 1.23 (95% confidence interval [CI]: 0.76-2.00), 1.30 (95% CI: 0.80-2.13) and 1.19 (95% CI: 0.73-1.93), all demonstrating no statistically significant difference. The pooled RR from the forest plot was 0.98 (95% CI: 0.95-1.01), which is consistent with the findings of this study. Furthermore, the results remained approximately the same in the stratification or sensitivity analyses in different datasets, including performing 1:1 or 1:2 propensity score matching. Conclusions: The present study suggests that FA or MV supplementation before or during early pregnancy may not influence the risk of offspring developing CHD.

OBJECTIVES:To compare fetal head growth and assess differences in fetal frontal lobe development between fetuses with congenital heart disease (CHD) and normal fetuses. To investigate the association between in utero fetal frontal lobe growth and the expected level of cerebral arterial oxygen saturation (SaO2). METHODS:This was a retrospective study, including 634 fetuses diagnosed with CHD and 677 normal fetuses. All these fetuses underwent fetal ultrasound scans after the 19th gestational week from January 2018 to June 2024. Fetuses with CHD were categorized into 3 groups based on the expected level of cerebral arterial SaO2: normal, mildly to moderately reduced, and severely reduced. CHD cases were also categorized into isolated CHD and non-isolated CHD, as well as classified based on anatomical subtypes. To assess frontal lobe growth and brain development across gestational ages, we measured biparietal diameter (BPD), head circumference (HC), frontal lobe anteroposterior diameter (FAPD), and occipitofrontal diameter (OFD), and then calculated the FAPD/OFD ratio. The BPD, HC, FAPD, and FAPD/OFD ratio were then compared between the CHD subtypes and the normal group. RESULTS:In total, 1196 individual ultrasound scans from 634 CHD fetuses and 3538 from 677 controls after the 19th gestationalweek were available for measurement, respectively. Fetuses with CHD were found to have a slightly smaller BPD, HC, and FAPD than normal fetuses, and the reductions decreased with the advancing gestational age. For the FAPD/OFD ratio, the value showed a consistent lower trend in the CHD group than in the control group, independent of gestational age and HC, with a progressive reduction as cerebral arterial SaO2 worsened in the CHD group (P < .001). Isolated and non-isolated CHD subgroups did not show any significant difference in the FAPD/OFD ratio (P = .480). CONCLUSION:Fetuses with CHD exhibit impaired frontal regional growth, which may be associated with hypoxia. The cardiac-induced hemodynamic changes may play a critical role in influencing neurodevelopment, particularly affecting frontal lobe growth. The FAPD/OFD ratio could be a simple and reliable tool to evaluate the development of the frontal lobe.

The COVID-19 pandemic, with its unprecedented global scale and intensive public health interventions, functioned as a unique, large-scale "natural experiment" in population health education. It remains unclear whether this event led to sustained, broad improvements in public literacy regarding infectious diseases beyond COVID-19 itself. This study aimed to evaluate the longitudinal trends in infectious disease-specific health literacy (IDSHL) among residents of Zhejiang Province, China, from 2019 (pre-pandemic) to 2024 (post-pandemic), to assess the lasting impact of this "natural experiment." Six annual cross-sectional surveys were conducted from 2019 to 2024 across 30 counties in Zhejiang Province, using consistent multistage stratified random sampling and a validated 12-item IDSHL questionnaire assessing knowledge, behavior, and skills. Annual sample sizes ranged from 17,131 to 19,257 (total N=112,917). Joinpoint regression and multivariate logistic regression were used to analyze trends and identify associations. Population-weighted overall IDSHL scores increased significantly from 2019 (mean=10.46, SD=3.09) to 2024 (mean=11.40, SD=2.88) (P<.001). All subscale scores (knowledge, behavior, skills) showed significant upward trends (all P<.001). Joinpoint regression revealed the most rapid annual increase in the proportion of residents with adequate IDSHL occurred during the acute pandemic phase (2019-2021: APC=9.42%, P<.001), which slowed significantly post-2021 (2021-2024: APC=2.28%, P=.074). Correct response rates surged for items directly related to pandemic messaging (e.g., respiratory etiquette increased from 28.44% to 39.67%), but knowledge on non-respiratory diseases like hepatitis B fluctuated without a clear sustained gain. Adjusted analysis, using 2021 as the reference year, confirmed the lowest odds of adequate IDSHL in 2019 (OR=0.741) and the highest in 2024 (OR=1.098). The COVID-19 pandemic served as a potent natural experiment, catalyzing a significant and sustained improvement in population-level IDSHL, particularly in pandemic-relevant knowledge and behaviors. However, the effect was time-sensitive, with accelerated gains during the acute crisis decelerating afterward, and was not uniform across all disease domains or demographic groups. Post-pandemic health strategies must reinforce comprehensive IDSHL through sustained education and address the digital information landscape to bridge persistent equity gaps.

This study aimed to develop a new ultrasonographic dating formula to estimate gestational age (GA) based on fetal crown–rump length (CRL) in a Chinese population, evaluate model accuracy and compare its performance with established dating formulas. A prospective, multicenter study was conducted across mainland China. Participants included healthy, low-risk women with spontaneously conceived singleton pregnancies and a regular menstrual cycle in the preceding year. Ultrasonography was performed between 11 and 14 weeks of gestation, with GA determined based on the last menstrual period. Participants were randomly assigned to a development or validation cohort in a 7:3 ratio. A best-fit regression model was constructed for GA estimation based on CRL in the development cohort. For validation, mean differences between the new estimated GA and menstrual age were calculated and compared with those obtained using five established CRL-based dating formulas in the validation cohort. All participants were followed through to delivery. The study recruited 4,710 women with singleton pregnancies, with 3,297 in the development cohort and 1,413 women in the validation cohort. The mean and standard deviation values of CRL changed linearly with GA during 11–14 weeks. CRL demonstrated a linear relationship with GA between 11 and 14 weeks, yielding the regression equation GA = 59.590085 + 0.458539×CRL (R2 = 0.8042). The mean difference between estimated GA and menstrual age was 0.32 days (95

Artificial Intelligence (AI) technology has made remarkable progress in fetal ultrasound examinations, particularly excelling in fetal growth monitoring, organ function assessment, and early disease diagnosis. By automating the analysis of fetal ultrasound images, AI can accurately measure fetal biometric parameters and assist in diagnosing issues such as fetal growth restriction and organ developmental abnormalities. It demonstrates significant application potential in evaluating multiple organ systems including the fetal lungs, nervous system, cardiovascular system, and placenta, substantially enhancing the efficiency and accuracy of prenatal screening. This paper aims to review the current status of AI applications in obstetric ultrasound, while also exploring its limitations and future prospects.