Objectives: Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to develop an artificial intelligence wireless handheld ultrasound hip diagnostic system (AI‐HUDs) for accurate and robust DDH diagnosis. Methods: An AI‐HUDs was developed to automatically identify and analyze 6 key anatomical landmarks in static and dynamic hip ultrasound images, employing the Graf method to measure α and β angles. The dataset comprised 1192 ultrasound images and 498 dynamic videos. The YOLOv8 model was trained and tested to construct AI‐HUDs. Evaluation focused on the consistency between AI‐HUDs' automatic angle measurements and manual measurements by experts using traditional ultrasound equipment. Additionally, 104 hip ultrasound videos from 52 infants were acquired by a resident physician using AI‐HUDs, while corresponding static images were manually measured by ultrasound experts to assess agreement between novice‐operated AI‐HUDs and expert manual assessment. Results: Compared with expert manual measurements, the AI‐HUDs demonstrated good performance in static mode: the differences in α and β angles exhibited standard deviations of 1.38° and 2.14°, and mean absolute errors (MAEs) of 1.05° and 1.65°, respectively. The intraclass correlation coefficients (ICCs) were 0.82 (α) and 0.64 (β). In dynamic mode, the MAEs increased slightly to 1.18° (α) and 1.86° (β), while the ICCs decreased to 0.77 for α and 0.51 for β. When operated by the resident physician, AI‐HUDs maintained good performance with expert manual measurements: MAEs were 1.16° (α) and 1.91° (β); ICCs were 0.69 (α) and 0.61 (β). Bland–Altman analysis showed 96.15% (α) and 95.19% (β) of data points within the limits of agreement. Conclusion: AI‐HUDs demonstrated high reliability and accuracy in automatically measuring α and β angles. Resident physicians using this system achieved diagnostic performance comparable to experts. AI‐HUDs show promise as a convenient DDH screening tool in resource‐scarce regions, potentially facilitating wider adoption of infant hip ultrasound screening.

Objective: To investigate the distribution of laterality defects in fetuses, including situs inversus totalis (SIT) and situs ambiguous (SA), and to explore the potential genetic etiology of these laterality defects.Methods: Detailed fetal echocardiography and extracardiac structural evaluations were performed. Genetic testing, including chromosomal microarray analysis, and trio exome sequencing was conducted to identify potential genetic variants.Results: The incidence of heart malformation was significantly higher in SA fetuses than in SIT group (30/31 vs. 2/36, p < 0.001). The incidence of univentricular heart with single atrium was significantly higher in right isomerism compared with left isomerism (12/19 vs. 3/12, p = 0.029), while the incidence of double outlet right ventricle was significantly higher in left isomerism (5/12 vs. 1/19, p = 0.022). Genetic testing identified variation within candidate genes of cardiac development. Except for CFAP300 c.604delG and KMT2D c.16351T>C, which were rated as “likely pathogenic”, all other variants were categorized as variants of uncertain significance, with some fetuses having compound heterozygous variations.Conclusion: Fetuses with SA have a significantly higher likelihood of concurrent heart malformations compared with those with SIT. Genetic testing identified potential genetic variants that may play crucial roles in the mechanisms underlying normal fetal visceral positioning. Further studies are needed to explore the clinical significance of these genetic variants and to improve our understanding of the etiology and management of fetal laterality defects.

Introduction: Recurrent spontaneous abortion (RSA) demonstrates a complex pathogenesis. The uterine artery (UtA) Doppler ultrasound monitoring is clinically valuable for predicting RSA risk. Objective: This study aimed to assess the type of blood flow velocity waveform (FVW) and the hemodynamic characteristics of the UtA between the RSA and control groups. Methods: This retrospective study included 203 patients with RSA and 121 without RSA. All participants underwent transvaginal Doppler ultrasonography during the mid-luteal phase to assess the type of FVW and the hemodynamic parameters of the UtA. Results and discussion: The C type was the most prevalent in both the control and RSA groups, with incidences of 80.16% and 63.04%, respectively. The single type was more predominant in the control group than in the RSA group (83.47% vs. 73.89%). Notably, the compound type was more frequent in the RSA group than in the control group (26.11% vs. 15.26%). The compound type exhibited significantly higher circulatory resistance than the single type, with significant statistical differences observed in the mean pulsatility index (mPI) and mean resistance index (mRI) between the two types (P < 0.001). Further, mPI and mRI values of the UtA were higher in the RSA group than in the control group, with significant statistical differences between the two groups (P < 0.001). If abnormal UtA hemodynamic parameters and FVW are detected, early clinical intervention should be implemented to improve adverse pregnancy outcomes. Conclusion: UtA FVW varies, indicating differences in blood resistance. Prepregnancy monitoring of high-resistance FVW and hemodynamic parameters effectively assessed uterine perfusion status and may provide a foundation for early clinical intervention and potential personalized treatment strategies.

Sorting nexin 1 (SNX1), a member of the sorting nexin family, has been implicated in various cellular processes, yet its role in ovarian cancer (OV) remains poorly characterized. In this study, we systematically investigated the expression pattern, prognostic relevance and functional impact of SNX1 in OV. Bioinformatics analysis revealed that SNX1 is significantly downregulated in OV tissues, and its low expression is associated with poor overall and progression-free survival. Gene set enrichment analysis indicated that SNX1 downregulation is linked to activation of cancer-related pathways, including p53 signaling, PI3K/AKT signaling, and cell cycle–associated programs such as E2F targets and G2/M checkpoint. Functionally, SNX1 overexpression inhibited OV cell proliferation, blocked G1/S transition (with downregulation of E2F1, CDK2, CDK6, and cyclin D1), promoted apoptosis, and suppressed cell migration by modulating EMT markers (upregulating E-cadherin; downregulating N-cadherin, vimentin, Snail1, and β-catenin). Drug sensitivity analysis demonstrated a synergistic anti-tumor effect between SNX1 overexpression and paclitaxel treatment. Collectively, our findings identify SNX1 as a tumor suppressor and potential therapeutic target in OV, functioning through regulation of cell cycle, apoptosis and migration.

Objectives: To explore the ultrasound findings, treatment strategies, and reproductive outcomes in patients with recurrent cesarean scar pregnancy (CSP), providing evidence for clinical management. Methods: We identified 1371 confirmed CSP from 1517 initially screened cases (2012–2022) through blinded image review. From 159 subsequent live births in this cohort, 27 recurrent CSP cases were matched 1:1 with CSP patients having normal subsequent pregnancies. Baseline characteristics and reproductive outcomes were collected via medical records and structured interviews. Results: This study revealed the recurrent CSP group showed significantly higher rates of exogenous implantation pattern (33.3% versus 7.4%, OR = 1.96), rich vascularity on color Doppler (81.5% versus 40.7%, OR = 2.80), and embryonic cardiac activity detection (51.9% versus 18.5%, OR = 1.98) than the normal intrauterine pregnancy group after CSP ( p < .05) during initial diagnosis. The most commonly used treatment at our hospital is trans‐abdominal ultrasound‐guided suction curettage, which effectively controls the condition and preserves fertility. However, during long‐term follow‐up, some patients still face the risks of recurrence infertility. Conclusions: Recurrent CSP presents characteristic sonographic features at initial diagnosis, among which an exogenous implantation pattern, rich vascular flow signals, and embryonic cardiac activity serve as relevant and significant indicators. Although transabdominal ultrasound‐guided suction curettage is effective in managing the condition and preserving fertility, some patients still face long‐term risks of recurrence and infertility.