Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective To investigate alterations in plasma complement levels and white matter imaging characteristics,along with their relationship in patients with first-episode schizophrenia(SCZ).Methods Thirty-eight patients with first-episode schizophrenia and 42 healthy controls were enrolled.Whole-brain diffusion tensor imaging(DTI)was performed using a Philips 3.0 T MRI scanner.Tract-based spatial statistics(TBSS)combined with the Johns Hopkins University(JHU)white matter labels atlas was used to extract and compare white matter characteristics between the two groups.Plasma levels of complement components(C1q,C3,C4,factor B,factor H,and factor P)were measured using the MILLIPLEX? human complement assay kit via multiplex analysis.Spearman correlation analysis was conducted to examine the association between plasma complement levels and white matter features.Results The radial diffusivity(RD)of the left fornix/stria terminalis was significantly higher in the patient group compared to the control group[(0.62±0.04)×10-3mm2/s vs.(0.60±0.03)×10-3mm2/s,PFDR=0.048)].Factor H[677.71(551.58,846.21)ng/mL vs.582.76(513.93,729.71)ng/mL,P=0.041]and factor P[71.36(57.30,95.99)ng/mL vs.60.08(46.67,80.03)ng/mL,P=0.011]were both significantly elevated compared to the control group.Moreover,RD values in the left fornix/stria terminalis were negatively correlated with plasma C3 levels in the patient group(r=-0.362,P=0.025).Conclusion Patients with first-episode schizophrenia exhibit white matter microstructural abnormalities in left fornix/stria terminalis,which are significantly associated with plasma complement levels.

Objective To investigate alterations in plasma complement levels and white matter imaging characteristics,along with their relationship in patients with first-episode schizophrenia(SCZ).Methods Thirty-eight patients with first-episode schizophrenia and 42 healthy controls were enrolled.Whole-brain diffusion tensor imaging(DTI)was performed using a Philips 3.0 T MRI scanner.Tract-based spatial statistics(TBSS)combined with the Johns Hopkins University(JHU)white matter labels atlas was used to extract and compare white matter characteristics between the two groups.Plasma levels of complement components(C1q,C3,C4,factor B,factor H,and factor P)were measured using the MILLIPLEX? human complement assay kit via multiplex analysis.Spearman correlation analysis was conducted to examine the association between plasma complement levels and white matter features.Results The radial diffusivity(RD)of the left fornix/stria terminalis was significantly higher in the patient group compared to the control group[(0.62±0.04)×10-3mm2/s vs.(0.60±0.03)×10-3mm2/s,PFDR=0.048)].Factor H[677.71(551.58,846.21)ng/mL vs.582.76(513.93,729.71)ng/mL,P=0.041]and factor P[71.36(57.30,95.99)ng/mL vs.60.08(46.67,80.03)ng/mL,P=0.011]were both significantly elevated compared to the control group.Moreover,RD values in the left fornix/stria terminalis were negatively correlated with plasma C3 levels in the patient group(r=-0.362,P=0.025).Conclusion Patients with first-episode schizophrenia exhibit white matter microstructural abnormalities in left fornix/stria terminalis,which are significantly associated with plasma complement levels.

Objective:To explore the clinical application value of artificial intelligence（AI）-assisted training in enhancing the accuracy of nuchal translucency（NT）identification，standardization of measurement，and diagnostic efficacy for abnormalities among ultrasound residents.Methods:A retrospective collection of 300 standard fetal NT ultrasound images was conducted at the Center for Medical Ultrasound，Suzhou Hospital Affiliated of Nanjing Medical University from January 2018 to June 2024. The AI model performed NT measurements and diagnoses once. Four sonographers of different seniority levels（including two resident physicians）independently conducted NT measurements and diagnoses twice. Prior to the experiment，the middle-age and resident sonographers had uniformly completed traditional theory training. Following the first independent measurements，the two resident sonographers received additional AI-assisted training，after which all 4 sonographers performed the second independent measurements. A fetal medicine expert evaluated blindly all the results and compared the differences in NT recognition accuracy，measurement standard rate and diagnosis accuracy between the middle-age sonographer（traditional training only）and two resident sonographers（traditional + AI-assisted training）.Results:For the middle-aged sonographer who only received traditional lecture-based training，the accuracy of NT recognition，standardization rate of measurement，or diagnostic accuracy were not significantly improved befroe and after the training，and the diffrence was not statistically significant（ χ2=0.189，1.887，0.326；all P>0.05）. In contrast，the second-year resident（Resident 2）and first-year resident（Resident 1），who received both traditional lecture-based training and AI training，demonstrated some improvements in the accuracy of NT measurement site recognition，though the differences were not statistically significant（ χ2=1.301，2.418；all P>0.05）. However，both residents did significant improvements in the standardization rate of NT measurement（ χ2=25.768，17.035；all P<0.05）. In terms of diagnostic accuracy，Resident 1 did significant improvement（ χ2=10.180， P<0.05），while Resident 2 also did some improvement，though the difference was not statistically significant（ χ2=2.573， P>0.05）. Conclusions:The AI-assisted training system enhances the ability of ultrasound resident sonographers to recognize，measure，and diagnose NT，providing a novel and efficient training model for standardized residency training in ultrasound specialties.

Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.

AIM:To evaluate the clinical efficacy and safety of pneumoperitoneum-free single-hole endoscopy combined with ropivacaine local infiltra-tion anesthesia in pregnancy with ovarian tumor.METHODS:Twenty-eight pregnant women with ovarian tumor were randomly divided into two groups:observation group(n=16)and control group(n=12).The first time out of bed,ventilation time,postoperative hospital stay,non-invasive blood pressure,heart rate(HR),respiratory fre-quency(RR)and blood oxygen saturation(SpO2)were compared between the two groups.Pain score,Ramsay sedation score,SAS anxiety score,postoperative complications,patient satisfaction and recovery quality scale QoR15 were evaluated at 6,24 and 48 hours after operation.RESULTS:There was no significant difference in postopera-tive hospital stay,Ramsay score,RR,SpO2 and the incidence of complications between the two groups(P>0.05),but the time of getting out of bed and ventilation time were shortened,the scores of non-invasive blood pressure,HR,pain and anxiety in the observation group were lower than those in the control group,and the scores of patient satisfac-tion and QoR15 in the observation group were bet-ter than those in the control group(P<0.05).CON-CLUSION:The application of pneumoperitoneum-free single-hole endoscope combined with ropiva-caine local infiltration anesthesia in pregnancy with ovarian tumor can reach satisfactory clinical re-sults,including reducing postoperative pain and anxiety,which is worth popularizing.

Objective: To explore the impact of maternal anxiety during pregnancy on social emotional development of toddlers aged 1-3 year old, so as to provide references for scientific early parenting and early intervention for toddlers with social emotional difficulties. Methods: From September 2022 to March 2023, a total of 815 toddlers aged 1-3 who underwent physical examinations and their mothers at Nantong Maternal and Child Health Hospital were enrolled. The Chinese Infant Toddler Social and Emotional Assessment (CITSEA) was used to evaluate the social emotional ability among toddlers. Maternal anxiety evaluated using the Self rating Anxiety Scale (SAS) during prenatal visit was collected. Results: The average scores on the externalizing, internalizing, dysregulation and competence domains of the CITSEA were (49.40±9.48,47.42±9.60,48.67± 10.15 , 50.07± 10.20), respectively. Among boys, the score of externalizing domain (50.89±9.45) was higher than that of girls (48.76± 9.50 ), while the score of competence domain (49.22±10.30) was lower than that of girls (51.17±9.84), and the differences were statistically significant( t =2.10, -3.03, P <0.05). The detection rates of abnormalities in the externalizing, internalizing, dysregulation, and competence domains were 7.36%, 7.12%, 7.61%, and 7.24%, respectively. Among them, boys (8.43%,6.32%, 7.96 %,7.49%) and girls (6.19%, 7.99 %,7.22%,6.96%) showed no statistical differences ( χ 2=1.50, 0.85, 0.16, 0.09, P >0.05). There were significant differences in externalizing domain scores（47.77±9.52，49.56±8.95，52.51±9.77） and competence domain scores（51.70±10.38，49.65±10.05，46.68±10.03） among toddlers of different maternal anxiety（normal, mild, moderate to severe） （ F =7.05,7.10, P <0.01）. There were significant differences in the abnormal detection rate of externalizing domain （4.81%，7.54%，11.17%） and competence domain（4.81%，6.96%，11.73%）（ χ 2=6.60，7.98， P ＜0.05）. Conclusion Maternal anxiety during pregnancy has a negative impact on the social emotional development among toddlers. In order to improve social emotional development of toddlers, multidimensional social support and education during pregnancy should be carried out.

Objective: To understand sensory characteristics and its correlation with behavioral problems among children with autism spectrum disorder (ASD), so as to provide reference basis for early diagnosis and comprehensive intervention of ASD children. Methods: Using cross sectional survey, 193 ASD children trained by Nantong rehabilitation institutions were recruited from September 2021 to February 2022. All children were investigated with the Short Sensory Profile (SSP) and Parent Symptom Questionnaire (PSQ). Results: Among the 193 ASD children, 106 (54.9%) children had abnormal sensory characteristics, including 45 (23.3%) with possible abnormalities and 61 (31.6%) with obvious abnormalities. The abnormal rate of auditory filtering was the highest in the seven dimensions, reaching 85.0%, followed by low strength/weakness, motor sensitivity, taste/smell sensitivity, low response/seeking sensation, vision/hearing sensitivity and tactile sensitivity. The total incidence of sensory abnormalities was 93.3%. There were significant differences in six dimensions of PSQ scale scores of ASD children with different degrees of sensory abnormalities, including conduct problems, learning problems, psychosomatic disorders, impulsive hyperactivity, anxiety and hyperactivity index ( H =38.89, 38.90, 19.53, 46.34, 34.54, 54.90, P <0.01). With the aggravation of sensory abnormalities in children with ASD, the scores of all dimensions of the PSQ scale increased significantly. The total score of SSP was negatively correlated with the six dimensions of conduct problems, learning problems, psychosomatic disorders, impulsive hyperactivity, anxiety and hyperactivity index in PSQ ( r =-0.53, -0.50, -0.32, -0.55, -0.43, -0.61, P <0.01). Conclusion ASD children generally have sensory abnormalities, which coincide with severity of behavioral problems. There is a positive correlation between sensory abnormalities and behavioral problems in ASD children. More attention should be paid to the abnormal sensory characteristics of children with ASD in the future diagnosis and treatment process.

Near-death experience is a unique consciousness, a self-related, mysterious and unexplainable experience, which occurs in life-threatening and non-life-threatening situations, and could be classified as"classical near-death experiences"and"near-death-like experiences (NDEs-like)", respectively. The classical near-death experience corresponds to the internal awareness experienced in unresponsive conditions, which can be used to explore the disconnected states of consciousness of human beings. Meanwhile, the near-death-like experience is a more heterogeneous state, which brings more possibilities for future research. This article reviews the research progress of near-death experiences in different situations, such as cardiac arrest, syncope and meditative state, etc. Researchers found that people with rapid eye movement invasion are more likely to have NDEs and ketamine-induced general anesthesia can be used as a reversible and safe experimental model. Although many physiological and psychological explanations of near-death experiences have been proposed, the definition of the phenomenon, the mechanisms by which it occurs and the identification of near-death experiences remain controversial. Research on near-death experiences in China is still in its infancy. As a field of consciousness research, near-death experiences can be used to explore the mechanism of human consciousness in an unresponsive state, and to provide a new direction for the scientific research of clinical consciousness.

Near-death experience is a unique consciousness, a self-related, mysterious and unexplainable experience, which occurs in life-threatening and non-life-threatening situations, and could be classified as"classical near-death experiences"and"near-death-like experiences (NDEs-like)", respectively. The classical near-death experience corresponds to the internal awareness experienced in unresponsive conditions, which can be used to explore the disconnected states of consciousness of human beings. Meanwhile, the near-death-like experience is a more heterogeneous state, which brings more possibilities for future research. This article reviews the research progress of near-death experiences in different situations, such as cardiac arrest, syncope and meditative state, etc. Researchers found that people with rapid eye movement invasion are more likely to have NDEs and ketamine-induced general anesthesia can be used as a reversible and safe experimental model. Although many physiological and psychological explanations of near-death experiences have been proposed, the definition of the phenomenon, the mechanisms by which it occurs and the identification of near-death experiences remain controversial. Research on near-death experiences in China is still in its infancy. As a field of consciousness research, near-death experiences can be used to explore the mechanism of human consciousness in an unresponsive state, and to provide a new direction for the scientific research of clinical consciousness.