The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

AIM To study the neoflavonoids from Dalbergia cochinchinensis Pierre ex Laness and their anti-hypoxia/reoxygenation injury activities on H9c2 myocardial cells.METHODS The 70%ethanol extract from D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and reverse-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The CCK-8 method was used to detect their activities on H9c2 cells and protective effects on hypoxia-reoxygenation injury of H9c2 cells,and their structure-activity relationship was analyzed.RESULTS Twelve compounds were isolated and identified as latifolin(1),5-O-methyllatifolin(2),mimosifoliol(3),5-O-methydalbergiphenol(4),dalbergiphenol(5),cearoin(6),2,4-dihydroxy-5-methoxy-benzophenone(7),2-hydroxy-4,5-dimethoxybenzophenone(8),melannoin(9),2,2′,5-trihydroxy-4-methoxybenzophenone(10),dalbergin(11),4-methoxydalbergione(12).The dalbergiphenols and dalbergins had little toxicity to H9c2 cells,and dalbergiphenols had strong activity against hypoxia-reoxygenation injury of H9c2 cells.CONCLUSION Compound 8 is a new natural product.Compounds 4,9 are isolated from this plant for the first time.Dalbergiphenols may be the main neoflavonoids against hypoxia-reoxygenation injury of H9c2 cells.

Objectives To analyze the risk factors and their predictive value for postoperative hypoxemia in Type-A aortic dissection(TAAD).Methods A single-center retrospective study was conducted among 146 consecutive patients diagnosed as TAAD and undergone aortic arch surgery from January 2018 to June 2021 in Nanfang Hospital of Southern Medical University.According to the lowest postoperative PaO2/FiO2 ratio within 24 hours,the patients were classified into two groups:hypoxemia group(PaO2/FiO2≤200 mmHg)and non-hypoxemia group(PaO2/FiO2>200 mmHg).The difference of preoperative oxygen index,duration of mechanical ventilation and mortality in hospital were analyzed between the two groups.The independent risk factors for postoperative hypoxemia were evaluated by multivariate logistic regression and the predictive value was analyzed by receiver operator character(ROC)curves.Results For TAAD patients,the incidence of postoperative hypoxemia was 45.9%.Compared to non-hypoxemia group,hypoxemia group exhibited longer duration of mechanical ventilation(P<0.001)and longer intensive care unit(ICU)length of stay(P<0.05).Moreover,patients with hypoxemia presented higher mortality during hospital(P=0.011).Multivariate regression analysis identified BMI as independent risk factor(OR=1.701,P<0.001)and preoperation PaO2/FiO2 ratio as protective factors for postoperative hypoxemia in patients with TAAD(OR=0.987,P=0.004).Area under the ROC curve of BMI was 0.848,the optimal cut-off point of BMI was 25.8 kg/m2.Area under the ROC curve of pre-operation PaO2/FiO2 ratio was 0.808,the optimal cut-off point of preoperation PaO2/FiO2 ratio was 265 mmHg.Conclusions BMI higher than 25.8 kg/m2 is an independent risk factor and preoperation PaO2/FiO2 ratio higher than 265 mmHg is a protective factor for postoperative hypoxemia in patients with TAAD.Subjects with hypoxemia had longer duration of mechanical ventilation,ICU stay and higher mortality.

Objective: To analyze the therapeutic effect and safety of pancreatic extracorporeal shock wave lithotripsy(P-ESWL) for patients with chronic pancreatitis complicated by stones of the pancreatic duct and to investigate the influencing factors. Methods: A retrospective analysis was performed on clinical data from 81 patients with chronic pancreatitis complicated by pancreatic duct calculus treated with P-ESWL in the Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi 'an Jiaotong University from July 2019 to May 2022. There were 55 males(67.9%) and 26 females(32.1%). The age was (47±15)years (range: 17 to 77 years). The maximum diameter(M(IQR)) of the stone was 11.64(7.60) mm, and the CT value of the stone was 869 (571) HU. There were 32 patients (39.5%) with a single pancreatic duct stone and 49 patients(60.5%) with multiple pancreatic duct stones. The effectiveness, remission rate of abdominal pain, and complications of P-ESWL were evaluated. Student's t test, Mann Whitney U test, χ² test, or Fisher's exact test was used to compare the characteristics between the effective and ineffective groups of lithotripsy. The factors influencing the effect of lithotripsy were analyzed by univariate and multivariate logistic regression analysis. Results: Eighty-one patients with chronic pancreatitis were treated with P-ESWL 144 times, with an average of 1.78 (95%CI:1.60 to 1.96) times per person. Among them, 38 patients(46.9%) were treated with endoscopy. There were 64 cases(79.0%) with effective removal of pancreatic duct calculi and 17 cases(21.0%) with ineffective removal. Of the 61 patients with chronic pancreatitis accompanied by abdominal pain, 52 cases(85.2%) had pain relief after lithotripsy. After lithotripsy treatment, 45 patients(55.6%) developed skin ecchymosis, 23 patients(28.4%) had sinus bradycardia, 3 patients(3.7%) had acute pancreatitis, 1 patient(1.2%) had a stone lesion, and 1 patient(1.2%) had a hepatic hematoma. Univariate and multivariate logistic regression analysis showed that the factors affecting the efficacy of lithotripsy included the age of patient(OR=0.92, 95%CI: 0.86 to 0.97), the maximum diameter of the stone(OR=1.12,95%CI:1.02 to 1.24) and the CT value of the stone(OR=1.44, 95%CI: 1.17 to 1.86). Conclusions: P-ESWL is effective in the treatment of patients with chronic pancreatitis complicated by calculi of the main pancreatic duct.Factors affecting the efficacy of lithotripsy include patient's age, maximum stone diameter, and CT value of calculi.
Male ; Female ; Humans ; Retrospective Studies ; Acute Disease ; Treatment Outcome ; Calculi/pathology* ; Lithotripsy ; Pancreatitis, Chronic/pathology* ; Pancreatic Diseases/complications* ; Pancreatic Ducts ; Abdominal Pain/therapy*

Objective:To investigate the level of self-management and daily physical activity in patients with type 2 diabetes mellitus (T2DM) of Zang and Han nationalities in Tibetan, China, and to compare the difference in daily management between T2DM patients of Zang and Han nationalities, to develop reasonable and effective chronic disease management strategies for long-term out-of-hospital management of T2DM patients of Zang nationalities.Methods:A total of 265 T2DM patients with glycosylated hemoglobin (HbA1c) ≥ 7% who were admitted to the Endocrinology Ward of the Hospital of Chengdu Office of People's Government of Tibet Autonomous Region from November 2020 to April 2021 and who were from different regions of Tibet were included in this study according to inclusion and exclusion criteria. The general data of all included patients were collected. Glucose and lipid metabolism-related indicators were determined. The Generalized Diabetes Self-Management Efficacy Scale and International Physical Activity Questionnaires (IPAQ) were used to evaluate patients' levels of self-management and daily physical activity.Results:The hemoglobin level in T2DM patients of Zang nationality was (154.09 ± 24.11) g/L, which was significantly higher than that in T2DM patients of Han nationality ( P < 0.05). The total cholesterol, fasting blood glucose, and low-density lipoprotein in T2DM patients of Zang nationality were (4.63 ± 1.41) mmol/L, (7.94 ± 2.19) mmol/L, and (2.75 ± 1.11) mmol/L, respectively, which significantly higher compared with T2DM patients of Han nationality (all P < 0.05). Compared with T2DM patients of Han nationality, T2DM patients of Zang nationality had lower self-management scores (81.40 ± 15.44) points, diet control scores (17.26 ± 4.97) points, physical exercise scores (11.67 ± 4.42) points, prevention and treatment of high and low blood sugar score (12.21 ± 5.72) points. The differences were statistically significant (all P < 0.05). Moderate-intensity physical activity was a significant difference between T2DM patients of Zang and Han nationalities ( P < 0.05). Conclusion:Compared with T2DM patients of Han nationality, T2DM patients of Zang nationality have lower overall self-management levels, including diet control, physical exercise, prevention and management of high and low blood glucose, and moderate-intensity physical activity. Targeted individualized education should be carried out according to the Tibetan cultural characteristics, to further develop an intervention method and an out-of-hospital management strategy for chronic disease, which are suitable for T2DM patients of Zang nationality.

AIM To study the chemical constituents from the heartwood of Dalbergia cochinchinensis Pierre ex Laness.METHODS The 70%ethanol extract from the heartwood of D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULT Twenty-three compounds were isolated and identified as 3-O-acetylbetulin aldehyde(1),2,2'-oxybis(1,4-di-tert-butylbenzene)(2),ethyl 4-hydroxybenzoate(3),1-acetyl-β-carboline(4),7-hydroxydihydroflavone(5),palmic acid(6),hexadeca-4,7-diene(7),linoleic acid(8),methyl 4-hydroxybenzoate(9),2-(2-hydroxy-1-methyl-2-phenythyl)-4,5-dimethoxyphenol(10),2-methoxy-3-hydroxyxanthone(11),dibutyl terephthalate(12),6,4'-dihydroxy-7-methoxyflavan(13),pteroyanin G(14),benzoic acid,4-ethoxy-2-methoxy-,methyl ester(15),liquiritigenin(16),4,2',5'-trihydroxy-4'-methoxychalcone(17),7-hydroxy-6-methoxyflavone(18),6,4'-dihydroxy-7-methoxyflavone(19),2'-hydroxyformonetin(20),3'-methoxyformonetin(21),3'-hydroxyformonetin(22),6,7,4'-trihydroxyflavanone(23).CONCLUSION Compounds 2,4 are isolated from genus Dalbergia for the first time.Compounds 6-8,19,21 are isolated from this plant for the first time.

OBJECTIVE: To explore the mechanisms underlying the proliferative inhibition of Chinese herbal medicine Kang-Ai injection (KAI) in gastric cancer cells. METHODS: Gastric cancer cell lines MGC803 and BGC823 were treated by 0, 0.3%, 1%, 3% and 10% KAI for 24, 48 and 72 h, respectively. The cell proliferation was evaluated by 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) assay. The apoptosis and cell cycle were evaluated by flow cytometry. Interleukin (IL)-6 mRNA and protein expression levels were detected by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immune sorbent assay (ELISA), respectively. The protein expression levels of cyclin A, cyclin E, cyclin B1, cyclin D1, p21, retinoblastoma (RB), protein kinase B (AKT), extracellular regulated protein kinases (ERK), signal transducer and activator of transcription (STAT) 1 and STAT3 were detected by Western blot. RESULTS: KAI inhibited the proliferation of MGC803 and BGC823 gastric cancer cells in dose- and time-dependent manner. After treated with KAI for 48 h, the proportion of G1 phase was increased, expression level of cyclin D1 and phosphorylation-RB were down-regulated, whereas the expression of p21 was up-regulated (all P<0.01). Furthermore, 48-h treatment with KAI decreased the phosphorylation level of STAT3, inhibited the mRNA and protein expressions of IL-6 (all P<0.01). IL-6 at dose of 10 ng/mL significantly attenuated the proliferative effect of both 3% and 10% KAI, and recovered KAI-inhibited STAT3 phosphorylation and cyclin D1 expression level (all P<0.01). CONCLUSION KAI exerted an anti-proliferative function by inhibiting IL-6/STAT3 signaling pathway followed by the induction of G₁ phase arrest in gastric cancer cells.
Apoptosis ; Cell Line, Tumor ; Cell Proliferation ; Cyclin D1/pharmacology* ; Humans ; Interleukin-6/metabolism* ; RNA, Messenger/metabolism* ; STAT3 Transcription Factor/metabolism* ; Stomach Neoplasms/genetics*

Head and neck squamous cell carcinoma (HNSCC), as the most common type (>90%) of head and neck cancer, includes various epithelial malignancies that arise in the nasal cavity, oral cavity, pharynx, and larynx. In 2020, approximately 878 ‍ 000 new cases and 444 000 deaths linked to HNSCC occurred worldwide (Sung et al., 2021). Due to the associated frequent recurrence and metastasis, HNSCC patients have poor prognosis with a five-year survival rate of 40%-50% (Jou and Hess, 2017). Therefore, novel prognostic biomarkers need to be developed to identify high-risk HNSCC patients and improve their disease outcomes.
Biomarkers, Tumor/genetics* ; Head and Neck Neoplasms/genetics* ; Humans ; Kaplan-Meier Estimate ; RNA ; Squamous Cell Carcinoma of Head and Neck ; Survival Analysis ; Survival Rate

OBJECTIVES: To apply the convolutional neural network (CNN) Inception_v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology in forensic brain injury mechanism inference. METHODS: CT images from 190 cases with acceleration and deceleration brain injury were selected as the experimental group, and CT images from 130 normal brain cases were used as the control group. The above-mentioned 320 imaging data were divided into training validation dataset and testing dataset according to random sampling method. The model classification performance was evaluated by the accuracy rate, precision rate, recall rate, F1-value and AUC value. RESULTS: In the training process and validation process, the accuracy rate of the model to classify acceleration injury, deceleration injury and normal brain was 99.00% and 87.21%, which met the requirements. The optimized model was used to test the data of the testing dataset, the result showed that the accuracy rate of the model in the test set was 87.18%, and the precision rate, recall rate, F1-score and AUC of the model to recognize acceleration injury were 84.38%, 90.00%, 87.10% and 0.98, respectively, to recognize deceleration injury were 86.67%, 72.22%, 78.79% and 0.92, respectively, to recognize normal brain were 88.57%, 89.86%, 89.21% and 0.93, respectively. CONCLUSIONS Inception_v3 model has potential application value in distinguishing acceleration and deceleration injury based on brain CT images, and is expected to become an auxiliary tool to infer the mechanism of head injury.
Brain/diagnostic imaging* ; Brain Injuries ; Deep Learning ; Humans ; Neural Networks, Computer