The high-quality development of Traditional Chinese Medicine(TCM)is a significant issue faced by the development of TCM in the new era.Artificial Intelligence(AI),as one of the representatives of new productive forces,is expected to provide strong momentum for the inheritance,innovation,and development of TCM.By focusing on three major directions—intelligent TCM early warning and diagnosis,intelligent TCM treatment and rehabilitation,and intelligent TCM research and teaching—the paper reviews the existing problems and challenges in AI-empowered TCM and proposes solutions.In terms of intelligent TCM early warning and diagno-sis,there are issues with the normalization and standardization of TCM theory itself,insufficient open and high-quality large-scale TCM annotation data resources,and lack of TCM theory and thinking guidance in the design of intelligent methods.In terms of intelli-gent TCM treatment and rehabilitation,there are issues such as the feedback and adjustment mechanism are not yet sound,the depth of multidisciplinary collaborative innovation is insufficient,and technical safety and laws and regulations are not perfect.In terms of intel-ligent TCM research and teaching,there are issues such as insufficient mining and interpretation of TCM implicit knowledge,and insuf-ficient learning and simulation of TCM expert thinking.Based on the above issues,corresponding solutions are proposed to explore ide-as for the research in the interdisciplinary field of"artificial intelligence+TCM"and to provide reference for the high-quality develop-ment of TCM inheritance and innovation.

OBJECTIVE To propose an approach based on monocular optical camera-captured full-body two-dimensional ima-ges.Through a three-dimensional reconstruction algorithm,to extract three-dimensional shape parameters and utilize them for intelli-gent identification of phlegm-dampness,yin-deficiency,and other constitutions.METHODS Standard static standing posture ima-ges of subjects in their natural state were collected,and subjects filled out constitution assessment forms or were assessed by the chief TCM physician to obtain constitution information.Constitution served as data labels.A parametric human body three-dimensional re-construction algorithm was employed to extract three-dimensional shape features.Sample distribution was improved using synthetic mi-nority oversampling technique(SMOTE),and a neural network was utilized to establish the connection between human body shape and constitution.RESULTS Experimental results indicate that the accuracy of the phlegm-dampness and yin-deficiency constitution iden-tification model based on human body three-dimensional reconstruction could reach 86.16%,with an F1 score of 79.35%.After using SMOTE to enhance sample distribution,the model accuracy increases to 89.91%,with an F1 score of 84.33%.This demonstrated the feasibility and accuracy of the identification model based on human body three-dimensional reconstruction.CONCLUSION The ex-traction of human body shape features based on three-dimensional reconstruction can effectively identify phlegm-dampness and yin de-ficiency constitutions.Compared to existing methods,this approach is more convenient and enables the rapid detection of potential bia-ses in individual constitutions.Early intervention and correction can be applied to achieve the goal of"preventing disease before it oc-curs".In outpatient clinics,health checkups,and other clinical scenarios,this method has high potential and value for clinical appli-cation.Additionally,this method provides new insights for the intelligent and objective identification of TCM constitution.

Objective:To determine the diagnostic accuracy and prognosis of fetal congenital heart disease (CHD) detected by ultrasound at 11-13 weeks gestation.Methods:Fetuses at 11 to 13 + 6 weeks gestation in the Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2015 and December 2022 were prospectively collected. Standrardized ultrasound was used to examine the fetuses. For the suspected fetal CHD, the section of cardiac ultrasound was improved as far as possible, and ultrasonic results, prenatal diagnosis, pathological anatomy and pregnancy outcome were followed up. Results:A total of 539 cases of CHD were detected in 72 242 fetuses with mixed risk in the first trimester, the incidence was 0.75% (539/72 242). The incidence of CHD in the fetuses with positive soft markers was 9.20% (287/3 118), and the incidence of multiple fetal malformations was 16.22% (235/1 449). The diagnostic accordance rate of complex CHD was 97.42%. For complex CHD, the sensitivity, specificity, false positive rate and false negative rate of first-trimester ultrasound were 90.41%, 99.98%, 0.02%, 9.59%. Combined with the results of this study, the abnormal section model of complex CHD was recommended. A total of 252 cases underwent staining chromosomal microarray or gene sequencing, of which 42.46% (107/252) were positive.Conclusions:Standardized ultrasound examination has a very high detection rate for fetal CHD in the first trimester. Transverse scanning of the heart can significantly improve the display of gray scale cardiac section, and reference to the cardiac section pattern map is beneficial to the early diagnosis of fetal CHD.

OBJECTIVE Taking Professor Zhou Zhongying's clinical cases of treating hyperthyroidism as the research object,this article explored the use of the TabNet model based on neural networks to discover the diagnosis and treatment rules of hyperthyroid-ism,providing a method reference for inheriting the academic thoughts of famous veteran traditional Chinese medicine practitioners and assisting clinical diagnosis and treatment.METHODS Based on the clinical diagnosis and treatment cases of hyperthyroidism of Pro-fessor Zhou Zhongying and his team,standardized and structured training data were constructed;algorithms based on attention mecha-nism and sparse feature selection mechanism were studied;a pathogenesis prediction model was constructed by inputting standardized clinical manifestations,standardized tongue and pulse conditions;core symptoms,pathogenesis and medication were analyzed,as well as the relationship between the three.RESULTS The trained prediction model was used to predict the 6 pathogenesis of liver stagna-tion,liver fire,phlegm fluid,kidney deficiency,yin deficiency,and blood stasis.Compared with multi-label classification models constructed by classic algorithms such as decision trees and random forests,this model had better classification and prediction indica-tors.Mining was carried out through the decision tree algorithm,and 6 core pathogenesis corresponding Chinese medicine groups were summarized:vinegar-baked Bupleurum chinense,prunella vulgaris,oyster,processed Carapax trionycis,Scrophularia ningpoensis,Asparagus cochinchinensis,Ophiopogon japonicus,etc.CONCLUSION Using the TabNet algorithm on clinical medical record data to build a pathogenesis prediction model based on clinical manifestations,tongue and pulse conditions can effectively predict the core pathogenesis,and then discover the connection between symptoms,pathogenesis and medication,providing methodological references for the inheritance of academic ideas of famous veteran traditional Chinese medicine practitioners and clinical auxiliary diagnosis and treatment decision-making.

The high-quality development of Traditional Chinese Medicine(TCM)is a significant issue faced by the development of TCM in the new era.Artificial Intelligence(AI),as one of the representatives of new productive forces,is expected to provide strong momentum for the inheritance,innovation,and development of TCM.By focusing on three major directions—intelligent TCM early warning and diagnosis,intelligent TCM treatment and rehabilitation,and intelligent TCM research and teaching—the paper reviews the existing problems and challenges in AI-empowered TCM and proposes solutions.In terms of intelligent TCM early warning and diagno-sis,there are issues with the normalization and standardization of TCM theory itself,insufficient open and high-quality large-scale TCM annotation data resources,and lack of TCM theory and thinking guidance in the design of intelligent methods.In terms of intelli-gent TCM treatment and rehabilitation,there are issues such as the feedback and adjustment mechanism are not yet sound,the depth of multidisciplinary collaborative innovation is insufficient,and technical safety and laws and regulations are not perfect.In terms of intel-ligent TCM research and teaching,there are issues such as insufficient mining and interpretation of TCM implicit knowledge,and insuf-ficient learning and simulation of TCM expert thinking.Based on the above issues,corresponding solutions are proposed to explore ide-as for the research in the interdisciplinary field of"artificial intelligence+TCM"and to provide reference for the high-quality develop-ment of TCM inheritance and innovation.

OBJECTIVE To propose an approach based on monocular optical camera-captured full-body two-dimensional ima-ges.Through a three-dimensional reconstruction algorithm,to extract three-dimensional shape parameters and utilize them for intelli-gent identification of phlegm-dampness,yin-deficiency,and other constitutions.METHODS Standard static standing posture ima-ges of subjects in their natural state were collected,and subjects filled out constitution assessment forms or were assessed by the chief TCM physician to obtain constitution information.Constitution served as data labels.A parametric human body three-dimensional re-construction algorithm was employed to extract three-dimensional shape features.Sample distribution was improved using synthetic mi-nority oversampling technique(SMOTE),and a neural network was utilized to establish the connection between human body shape and constitution.RESULTS Experimental results indicate that the accuracy of the phlegm-dampness and yin-deficiency constitution iden-tification model based on human body three-dimensional reconstruction could reach 86.16%,with an F1 score of 79.35%.After using SMOTE to enhance sample distribution,the model accuracy increases to 89.91%,with an F1 score of 84.33%.This demonstrated the feasibility and accuracy of the identification model based on human body three-dimensional reconstruction.CONCLUSION The ex-traction of human body shape features based on three-dimensional reconstruction can effectively identify phlegm-dampness and yin de-ficiency constitutions.Compared to existing methods,this approach is more convenient and enables the rapid detection of potential bia-ses in individual constitutions.Early intervention and correction can be applied to achieve the goal of"preventing disease before it oc-curs".In outpatient clinics,health checkups,and other clinical scenarios,this method has high potential and value for clinical appli-cation.Additionally,this method provides new insights for the intelligent and objective identification of TCM constitution.

Objective:To investigate the value of ultrasonography in diagnosis of transposition of great arteries of the fetus at 11-13 + 6 weeks gestation. Methods:A prospective study was conducted on fetuses screened by ultrasound in the first trimester in Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2015 and March 2022. Fetal heart structure was screened by three-section screening method. Fetuses with suspected transposition of the great arteries at 11-13 + 6 weeks gestation underwent followed-up ultrasound examination, chromosome and gene test results. The ultrasound characteristics and prognosis pregnancy outcomes were summarized. Results:Twenty-one cases of transposition of the great arteries were detected by ultrasonography, including complete transposition of great arteries (20 cases) and congenitaly corrected transposition of the great arteries (1 case). Two cases were miss diagnosed. Twenty-one cases showed parallel signs of two major arteries on grayscale outflow section at 11-13 + 6 weeks gestation. There were 6 cases with aneuploid ultrasonographic soft markers abnormality, 2 cases with extracardiac malformation. Chromosome and microarray analysis were performed in 13 cases. 4 cases with chromosomal abnormality. Four cases of chromosomal abnormalities were associated with ultrasonographic soft markers abnormality, and 1 case with extracardiac malformation.In the 23 cases, 20 cases were induced, 1 miscarried, and 2 delivered to term. Among the fetuses delivered at term, 1 case died before neonatal operation and 1 case survived. Conclusions:Standardized ultrasound scan at 11-13 + 6 weeks has high accuracy in diagnosis of transposition of the great arteries. And the incidence of chromosomal abnormality is high with ultrasonographic soft markers abnormality or extracardiac malformation.

Objective:To investigate the value of atrioventricular valve regurgitation in predicting atrioventricular septal defect (AVSD) in the first trimester.Methods:Fetuses were examined prospectively by ultrasound at 11-13 + 6 weeks in Maternity & Child Healthcare Hospital of Guangxi Zhuang Autonomous Region between February 2016 and February 2021. Congenital heart disease was screened and atrioventricular valve regurgitation was observed in fetuses of gestational age 11 to 13 + 6 weeks using color Doppler in four-chamber view and three vessels and trachea view. Results:Totally 43 549 fetuses of gestational age 11 to 13 + 6 weeks were screened by echocardiography, of whom 37 cases were screened out with AVSD, including complete atrioventricular septal defect (31 cases), partial atrioventricular septal defect(3 cases) and intermediate atrioventricular septal defect(1 cases), 2 cases were misdiagnosed, and ultrasonic scanning in the second trimester found 2 missed cases of intermediate atrioventricular septal defect. Atrioventricular valve regurgitation was observed in 91.89% of atrioventricular septal defects (34/37) in the first trimester, 59.46% (22/37) nuchal translucency greater than 95th percentile, 29.73% (11/37) absence of nasal bone, 32.43% (12/37) ductus venosus A wave inversion, and 40.54% (15/37) had tricuspid regurgitation. The sensitivity of common atrioventricular valve regurgitation in predicting atrioventricular septal defect is better than other ultrasonic indexes. Conclusions:Atrioventricular regurgitation can be used as a clue to predict atrioventricular septal defect in the first trimester, which is beneficial to detect atrioventricular septal defect in the first trimester.

Objective::The aim of the study was to investigate the pregnancy outcomes and possible influencing factors concerning complicated monochorionic (MC) multiple pregnancies undergoing selective fetal reduction using radiofrequency ablation (RFA).Methods::This retrospective cohort study included 54 women with complicated MC multiple pregnancy who underwent selective fetal reduction using RFA at the Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region from January 2015 to March 2020. According to the indications for RFA, the 54 women were divided into three groups: complex complications ( n = 30), structural anomalies ( n = 18), and triplet pregnancy ( n = 6). According to the gestational age for RFA, all patients were divided into three groups: 16-19 +6 weeks ( n = 17), 20-23 +6 weeks ( n = 17), and 24-26 +6 weeks ( n = 20). We analyzed the pregnancy outcomes (including the overall survival rate (OSR), gestational age at delivery, birth weight of newborns) and postoperative complications such as miscarriage, and intrauterine fetal death (IUFD) according to the indications and gestational age of reduction by using suitable statistical testing. Results::The OSR was 83.3% (45/54). The mean ± standard deviation ( SD) of gestation at the time of reduction was 21.6 ± 3.2 weeks. The GA at delivery was 34.0(32.0,37.5) weeks. The mean ± SD of newborns’ birth weight was 2118 ± 685 g. The overall rates of miscarriage, PROM, and IUFD were 9.3% (5/54), 7.4% (4/54), and 7.4% (4/54), respectively. According to the indications for reduction, the OSR for complex complications, structural anomalies, and triplet pregnancy groups were 83.3% (25/30), 83.3% (15/18), and 83.3% (5/6), respectively. Statistically significant differences were only found in the mean birth weight among the three groups ( P < 0.05). No significant difference was found in the rate of miscarriage, and mean gestation at delivery among the three groups ( P > 0.05). In the group with complex complications, the OSR of twin-to-twin transfusion syndrome, selective intrauterine growth restriction, twin reversed arterial perfusion sequence, and twin anemia polycythemia sequence were 66.7% (6/9), 93.3% (14/15), 80.0% (4/5), and 100.0% (1/1), respectively, with no significant difference among these groups ( P > 0.05). According to the gestational age of reduction, the OSRs among the three groups were 82.4% (14/17), 76.5% (13/17), and 90.0% (18/20), respectively, and the rate of miscarriage, IUFD, and mean gestation age at delivery among these groups showed no significant difference ( P > 0.05). Conclusion::Selective fetal reduction by RFA is an important treatment method for complicated MC multiple pregnancy, although it may lead to complications like miscarriage, and IUFD. The indication of reduction seems to affect the pregnancy outcome. An optimal treatment plan should be selected according to the patient’s conditions in clinical practice.

Objective::The aim of the study was to investigate the pregnancy outcomes and possible influencing factors concerning complicated monochorionic (MC) multiple pregnancies undergoing selective fetal reduction using radiofrequency ablation (RFA).Methods::This retrospective cohort study included 54 women with complicated MC multiple pregnancy who underwent selective fetal reduction using RFA at the Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region from January 2015 to March 2020. According to the indications for RFA, the 54 women were divided into three groups: complex complications ( n = 30), structural anomalies ( n = 18), and triplet pregnancy ( n = 6). According to the gestational age for RFA, all patients were divided into three groups: 16-19 +6 weeks ( n = 17), 20-23 +6 weeks ( n = 17), and 24-26 +6 weeks ( n = 20). We analyzed the pregnancy outcomes (including the overall survival rate (OSR), gestational age at delivery, birth weight of newborns) and postoperative complications such as miscarriage, and intrauterine fetal death (IUFD) according to the indications and gestational age of reduction by using suitable statistical testing. Results::The OSR was 83.3% (45/54). The mean ± standard deviation ( SD) of gestation at the time of reduction was 21.6 ± 3.2 weeks. The GA at delivery was 34.0(32.0,37.5) weeks. The mean ± SD of newborns’ birth weight was 2118 ± 685 g. The overall rates of miscarriage, PROM, and IUFD were 9.3% (5/54), 7.4% (4/54), and 7.4% (4/54), respectively. According to the indications for reduction, the OSR for complex complications, structural anomalies, and triplet pregnancy groups were 83.3% (25/30), 83.3% (15/18), and 83.3% (5/6), respectively. Statistically significant differences were only found in the mean birth weight among the three groups ( P < 0.05). No significant difference was found in the rate of miscarriage, and mean gestation at delivery among the three groups ( P > 0.05). In the group with complex complications, the OSR of twin-to-twin transfusion syndrome, selective intrauterine growth restriction, twin reversed arterial perfusion sequence, and twin anemia polycythemia sequence were 66.7% (6/9), 93.3% (14/15), 80.0% (4/5), and 100.0% (1/1), respectively, with no significant difference among these groups ( P > 0.05). According to the gestational age of reduction, the OSRs among the three groups were 82.4% (14/17), 76.5% (13/17), and 90.0% (18/20), respectively, and the rate of miscarriage, IUFD, and mean gestation age at delivery among these groups showed no significant difference ( P > 0.05). Conclusion::Selective fetal reduction by RFA is an important treatment method for complicated MC multiple pregnancy, although it may lead to complications like miscarriage, and IUFD. The indication of reduction seems to affect the pregnancy outcome. An optimal treatment plan should be selected according to the patient’s conditions in clinical practice.