Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.

Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. The paper also addresses key challenges such as data acquisition and augmentation, including issues related to data volume, annotation, multi-modal fusion, and privacy concerns. Additionally, it discusses the evaluation, validation, limitations, and regulation of medical AI models, emphasizing their transformative potential in healthcare. The importance of continuous improvement, data security, standardized evaluations, and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.

Objective To compare the effects of transumbilical single-incision appendectomy and laparoscopic appendectomy in the treatment of acute appendicitis in pediatric patients.Methods The clinical data of 162 pediatric patients under 14 years old with acute appendicitis admitted to our department were retrospectively analyzed,and the pediatric patients were divided into the transumbilical single-incision surgery group(n=59)and the laparoscopic group(n=103)according to their surgeries.The completion of the operation was recorded,and the operation time,intraoperative blood loss,gastrointestinal function recovery time,hospitalization cost,hospital stay and complications were compared between the two groups.The postoperative wound healing was observed.The wound infection,abdominal pain,abdominal distension,vomiting and abnormal stool were observed during the 6-month follow-up after operation.Results The operations of pediatric patients in the laparoscopic group were successfully completed without conversion to open surgery.The appendixes of 2 cases in the transumbilical single-incision surgery group were found by transumbilical laparoscopy during the operation due to the difficulty in finding the appendixes.The operation time and hospital stay in the transumbilical single-incision surgery group were shorter than those in the laparoscopic group(P<0.05).There was no significant difference in the hospitalization cost,intraoperative blood loss,gastrointestinal function recovery time,or incidence of complications between the two groups(P>0.05).The incision healing in the transumbilical single-incision surgery group was more beautiful.During the follow-up period,the incision of the pediatric patients in the two groups healed well,and there was no abdominal pain,abdominal distension,vomiting or abnormal stool.Conclusion Compared with the traditional laparoscopic appendectomy,transumbilical single-incision appendectomy has the advantages of simple operation,short operation time and hospital stay,and more beautiful incision healing.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

Objective:To investigate the incidence of comorbid ED with lower urinary tract symptoms(LUTS)and its risk fac-tors in BPH patients.Methods:Based on inclusion and exclusion criteria,we selected BPH patients visiting the outpatient depart-ment of the Second Xiangya Hospital of Central South University from January 2020 to January 2023.We collected the general and clin-ical data from the patients,including age,height,body weight,abdominal circumference,hip circumference,blood pressure,blood routine,liver function,kidney function,blood lipids and fasting blood glucose,obtained their IPSS,quality of life(QOL)scores,andⅡEF-5 scores by questionnaire investigation,and performed data processing and analysis with the SPSS 22.0 software.Results:The incidence rate of comorbid ED with LUTS in the BPH patients rose with the increase of age,36.46％in the 45-49-year group,43.72％in the 50-54-year group,53.66％in the 55-59-year group,69.23％in the 60-64-year group,and 78.74％in the 65-70-year group.The lipid accumulation product(LAP),visceral adiposity index(VAI),triglycerides and glucose(TyG),hepatic steatosis index(HSI),body mass index(BMI),waist-to-hip ratio(WHR),waist-to-height ratio(WHtR),triglycerides(TG)and high-density lipoprotein cholesterol(HDL-C)were correlated positively with IPSS scores and negatively with ⅡEF-5 scores,while LDL-C and total cholesterol(TC)negatively with IPSS scores and positively with ⅡEF-5 scores.Conclusion:The incidence of comorbid ED with LUTS in BPH patients increases with age.The risk factors for this comorbidity include hypertension,dyslipidemia,diabetes,BMI,and lifestyle,and the risk of the condition can be effectively assessed by LAP,VAI,TYG,HSI,BMI,WHtR,WHR,TG and HDL-C.

AIM To investigate the effects of Moluodan Dami Pills on chronic atrophic gastritis(CAG)rats and their mechanism.METHODS The rat models were randomly divided into the model group,the low-dose group and high-dose Moluodan Dami Pills groups(2.43 g/kg and 4.86 g/kg),and vitamin A group(0.32 g/kg),following the 16 weeks successful induction of CAG by five-factor modeling method,in contrast to another 10 normal rats of the control group.After 8 weeks corresponding administration,the rats of each group had their general physiological status and pH value of gastric juice assessed;their pathological changes of gastric mucosa observed by naked eyes combined with HE staining;their changes of gastrin-secreting cells(G cells)and somatostatin-secreting cells(D cells)in gastric mucosa observed by immunohistochemistry;and their serum levels of pepsinogen Ⅰ/pepsinogen Ⅱ(PG Ⅰ/PG Ⅱ)ratio,TNF-α and IL-6 detected by ELISA.RESULTS Compared with the model group,the groups intervened with Moluodan Damei Pills and vitamin A displayed lower pH values of gastric juice(P＜0.05),improved pathological changes of gastric mucosa,increased G and D cells counts(P＜0.05,P＜0.01),increased ratio of serum PGⅠ/PGⅡ,and decreased levels of IL-6 and TNF-α(P＜0.05,P＜0.01).CONCLUSION Moluodan Dami Pills can effectively improve the symptoms of CAG rats through its influence on the number and secretion abilityof G and D cells,the levels of serum PG Ⅰ/PG Ⅱ ratio and inflammatory factors.

Objective To gain an in-depth understanding of the motivations,patterns,and related factors in family decision-making regarding the referral of terminal patients in tertiary hospitals.Methods Using purposive sampling,terminal patients and their family members from three tertiary hospitals in Beijing were se-lected as subjects.Semi-structured interviews were conducted,and the interview data were subjected to thematic analysis.Results Following the saturation principle,a total of 11 patients and 15 family members were includ-ed.The interview data were organized and analyzed,yielding six major themes:decision premises,decision pat-terns,family support,support from the referring hospital's medical team,referral channel conditions,and in-volvement of volunteer teams and social support.Based on these findings,a flowchart illustrating the family deci-sion-making process for the referral of terminal patients was constructed.Conclusions The study provides a com-prehensive analysis of various factors influencing family decision-making in the referral of terminal patients in ter-tiary hospitals.The results underscore the significance of internal and external factors,emphasizing the integrated impact of decision patterns,family support,medical team support,referral channel conditions,and the in-volvement of volunteer teams and social support.The research offers profound insights into improving the referral process for terminal patients and enhancing the quality of family decision-making.It provides valuable recommen-dations for future improvements in medical services and decision support.

ObjectiveTo explore the mechanism of Buzhong Yiqitang in ameliorating inflammatory injury in autoimmune thyroiditis (AIT) mice based on the Toll-like receptor 4（TLR4）/nuclear transcription factor-kappa B（NF-κB）/absent in melanoma 2（AIM2）inflammasome signaling pathway. MethodThe 120 genetically susceptible 8-week-old NOD.H-2^h4 mice were selected and randomly divided into control group， model group， low， medium and high dose groups of Buzhong Yiqitang （4.78， 9.56， 19.12 g·kg^-1）， and western medicine group （selenium yeast tablets， 3.033×10^-5 g·kg^-1）. The AIT model mice in each group drank ad libitum 0.05% sodium iodide aqueous solution for 8 weeks to establish the AIT model， and the control group drank ad libitum distilled water. Eight weeks later， the mice in each dosing group were divided into groups and gavage. The swelling of thyroid tissue was observed with the naked eye， and the weight of spleen was weighed. The content of serum inflammatory factors interleukin-1β （IL-1β）， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α） was measured by enzyme-linked immunosorbent assay （ELISA）， and Real-time PCR was used to detect the expression of HMGB1， TLR4， AIM2， NF-κB p65，apoptosis-associated speck-like protein（ASC），cysteinyl aspartate-specific protease-1（Caspase-1）， IL-1β mRNA. Western blot was used to detect the expression of high motility group protein 1 （HMGB1）， TLR4， AIM2， NF-κB p65， phosphorylation（p）-NF-κB p65， ASC， Caspase-1， and IL-1β proteins in thyroid tissue， and immunofluorescence staining was used to observe the protein expression of HMGB1， AIM2， and NF-κB p65 in thyroid tissue of mice. ResultCompared with the control group， the thyroid tissue of mice in the model group was significantly swollen， the spleen quality was significantly increased， and the expression of HMGB1， TLR4， NF-κB p65， AIM2， ASC， Caspase-1， IL-1β in thyroid tissue was significantly increased （P<0.01）. Compared with the model group， the swelling of thyroid tissue in mice in each dose group of Buzhong Yiqitang was improved， the quality of spleen was significantly reduced， and the expression of HMGB1， TLR4， AIM2， NF-κB p65， p-NF-κB p65， ASC， Caspase-1， IL-1β in thyroid tissue was significantly reduced （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can effectively improve the inflammatory injury of AIT， and regulating the abnormal activation of the TLR4/NF-κB/AIM2 inflammasome signal pathway may be one of its intervention mechanisms.

ObjectiveTo explore the effect of Buzhong Yiqitang on the immune imbalance of helper T cell 17 （Th17）/regulatory T cell （Treg） and Notch1 signaling pathway in mice with autoimmune thyroiditis （AIT）. MethodA total of 60 8-week-old NOD.H-2^h4 mice were randomly divided into the normal group， model group， western medicine group （selenium yeast tablet， 32.5 mg·kg^-1）， and low-dose （4.78 g·kg^-1·d^-1）， middle-dose （9.56 g·kg^-1·d^-1）， and high-dose （19 g·kg^-1·d^-1） Buzhong Yiqitang groups， with 10 mice in each group. The normal group was fed with distilled water， and the other groups were fed with water containing 0.05% sodium iodide for eight weeks. After the animal model of AIT was formed spontaneously， the mice were killed under anesthesia after intragastric administration for eight weeks. Serum anti-thyroglobulin antibodies （TGAb）， thyroid-stimulating hormone （TSH）， free triiodothyronine （FT3）， and free thyroid hormone （FT4） were detected by enzyme-linked immunosorbent assay （ELISA）， and thyroid tissue changes were observed by hematoxylin-eosin （HE） staining. The mRNA and protein expressions of retinoid-related orphan receptor-γt （RORγt）， interleukin （IL）-17， forkhead box P3 （FoxP3）， IL-10， Notch1， and hair division-related enhancer 1 （Hes1） in thyroid tissue were detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultCompared with the normal group， the thyroid structure of the model group was severely damaged， and lymphocytes were infiltrated obviously. The levels of serum TGAb， FT3， and FT4 contents were significantly increased， and TSH content was significantly decreased （P<0.01）. The mRNA and protein expression levels of RORγt， IL-17， Notch1， and Hes1 were significantly increased， while those of FoxP3 and IL10 were significantly decreased in the model group （P<0.01）. Compared with the model group， thyroid structural damage and lymphocyte infiltration were improved in the treatment groups， and serum TGAb， FT3， and FT4 contents were significantly decreased. TSH content was increased， and mRNA and protein expression levels of RORγt， IL-17， Notch1， and Hes1 were decreased. mRNA and protein expression levels of FoxP3 and IL-10 were increased to different degrees （P<0.05， P<0.01）， and the middle-dose Buzhong Yiqitang group had the most significant intervention effect. ConclusionBuzhong Yiqitang can alleviate the thyroid structural damage in AIT mice， and its mechanism may be related to improving the abnormal differentiation of Th17/Treg immune cells and inhibiting the activation of the Notch1 signaling pathway.