Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective Against the backdrop of rapid advancements in artificial intelligence(AI)technology,generative AI such as DeepSeek and Manus is integrating into and reshaping the healthcare industry with disruptive force.AI and related technologies are increasingly being applied in hospital management.Based on the mature application of Robotic Process Automa-tion(RPA)technology,this study aims to explore the potential of AI technology in the automatic collection,processing,and dis-tribution of daily hospital information statistics reports.By constructing an automated daily report generation system,it seeks to address issues in traditional hospital management such as high labor costs and low efficiency,thereby providing technical support for the construction of smart hospitals.Methods This study took a tertiary hospital in Shenzhen as an empirical research sub-ject,developing a specific workflow plan for automatically generating daily hospital information statistics reports based on AI+RPA technology to empower smart hospital management.To tackle data missing issues,an innovative 30-minute silent period manual review mechanism was established,creating a dual-guarantee system of"automatic machine processing+manual seconda-ry verification."The study focused on achieving technical breakthroughs in key links including data acquisition,storage and pro-cessing,daily report generation,and scheduled push notifications,ensuring the automation and accuracy of the daily hospital in-formation statistics reporting process.Results The AI+RPA technology demonstrated excellent implementation outcomes in key aspects and specific application scenarios such as data acquisition,storage,automated daily report generation,and automated sending to designated locations for hospital information statistics.The efficiency of daily report generation was significantly im-proved,labor costs were reduced,and data accuracy was enhanced.The human-machine collaboration mechanism effectively re-solved low-level errors caused by missing data and optimized the overall daily report generation process.Conclusion By recon-structing the workflow for daily hospital information statistics reports,AI+RPA technology significantly enhanced management ef-ficiency and data quality,meeting the data needs of hospital management departments.Compared to the daily consumption of hu-man resources previously,the"Statistics Robot"not only substantially reduces labor costs but can also be scheduled to run auto-matically during idle periods for both personnel and information systems.It breaks down departmental barriers and data silos,a-chieving higher resource allocation efficiency and laying a data foundation for smart hospital development.In the future,the deep integration of AI with RPA technology and the targeted development of software robots for other specialized purposes will bring more innovation and transformation to smart hospitals,further enhancing hospital management efficiency and service quality.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective Against the backdrop of rapid advancements in artificial intelligence(AI)technology,generative AI such as DeepSeek and Manus is integrating into and reshaping the healthcare industry with disruptive force.AI and related technologies are increasingly being applied in hospital management.Based on the mature application of Robotic Process Automa-tion(RPA)technology,this study aims to explore the potential of AI technology in the automatic collection,processing,and dis-tribution of daily hospital information statistics reports.By constructing an automated daily report generation system,it seeks to address issues in traditional hospital management such as high labor costs and low efficiency,thereby providing technical support for the construction of smart hospitals.Methods This study took a tertiary hospital in Shenzhen as an empirical research sub-ject,developing a specific workflow plan for automatically generating daily hospital information statistics reports based on AI+RPA technology to empower smart hospital management.To tackle data missing issues,an innovative 30-minute silent period manual review mechanism was established,creating a dual-guarantee system of"automatic machine processing+manual seconda-ry verification."The study focused on achieving technical breakthroughs in key links including data acquisition,storage and pro-cessing,daily report generation,and scheduled push notifications,ensuring the automation and accuracy of the daily hospital in-formation statistics reporting process.Results The AI+RPA technology demonstrated excellent implementation outcomes in key aspects and specific application scenarios such as data acquisition,storage,automated daily report generation,and automated sending to designated locations for hospital information statistics.The efficiency of daily report generation was significantly im-proved,labor costs were reduced,and data accuracy was enhanced.The human-machine collaboration mechanism effectively re-solved low-level errors caused by missing data and optimized the overall daily report generation process.Conclusion By recon-structing the workflow for daily hospital information statistics reports,AI+RPA technology significantly enhanced management ef-ficiency and data quality,meeting the data needs of hospital management departments.Compared to the daily consumption of hu-man resources previously,the"Statistics Robot"not only substantially reduces labor costs but can also be scheduled to run auto-matically during idle periods for both personnel and information systems.It breaks down departmental barriers and data silos,a-chieving higher resource allocation efficiency and laying a data foundation for smart hospital development.In the future,the deep integration of AI with RPA technology and the targeted development of software robots for other specialized purposes will bring more innovation and transformation to smart hospitals,further enhancing hospital management efficiency and service quality.

Oropharyngeal squamous cell carcinoma(OPSCC)is a malignant tumor originating from the squamous epithelium of the oro-pharyngeal mucosa,accounting for more than 90％of oropharyngeal malignancies.In recent years,human papillomavirus(HPV)infec-tion has become one of the primary etiological factors of oropharyngeal squamous carcinoma.The incidence of HPV-associated oropharyn-geal squamous carcinoma has been rising annually,with a noticeable trend toward younger populations,posing a significant threat to hu-man health.Due to the distinct biological behavior and clinical characteristics of HPV-associated oropharyngeal squamous carcinoma com-pared to its non-HPV-related counterpart,the diagnostic and treatment strategies for oropharyngeal squamous carcinoma have undergone substantial changes.Prevention and screening for oropharyngeal squamous carcinoma are of critical importance.The diagnostic and treat-ment process involves multi-disciplinary collaboration,including oral and maxillofacial surgery,otolaryngology,head and neck surgery,oncology,radiology and pathology.Based on evidence from clinical practice,a comprehensive,integrated diagnostic and therapeutic ap-proach has been established,centered around the concept of"prevention,screening,diagnosis,treatment,and rehabilitation",covering the entire patient lifecycle and providing a valuable reference for clinical practice.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective To investigate the clinical distribution,antimicrobial resistance,carbapenemase resistance genes,virulence genes,capsular serotypes and ST subtypes of carbapenem-resistant Klebsiella pneumoniae(CRKP)strains in intensive care unit of a tertiary hospital in Hunan Province for better management of CRKP infections.Methods CRKP strains were isolated from 8 intensive care units of the First People's Hospital of Chenzhou City from January 2020 to December 2021.The isolates were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and tested by VITEK Compact 2 for antimicrobial susceptibility.Carbapenemase phenotype was detected by modified carbapenem inactivation method(mCIM).The capsular serotypes were determined by wzi sequencing.Carbapenem resistance genes and virulence genes were identified by PCR and Sanger sequencing.The strains were also analyzed by multilocus sequence typing(MLST)in terms of ST subtypes.Results The 75 CRKP strains were mainly isolated from geriatric ICU(28.0％)and neurosurgery ICU(20.0％).Overall,6.7％(5/75)and 16.0％(12/75)of the CRKP strains were resistant to tigecycline and ceftazidime-avibactam,respectively.The CRKP strains(＞96.0％resistant)were highly resistant to carbapenems,cephalosporins,β-lactam/β-lactamase inhibitor combinations,and levofloxacin.PCR and sequencing analysis found blaKPC-2 gene in 61 strains(81.3％),blaNDM-1 gene in 11 strains(14.7％),blaNDM-5 gene in 1 strain(1.3％),and blaOXA-48 gene in 2 strains(2.7％).MLST revealed that ST11(54.7％,41/75),ST1883(13.3％,10/75),and ST307(6.7％,5/75)were the top three ST subtypes.All ST11 and ST1883 CRKP strains harbored blaKPC-2.KL64(38.7％,29/75)and KL47(25.3％,19/75)were the most prevalent capsular serotypes among the 75 CRKP strains.The most common virulence genes among these CRKP strains were rmpA2(48.0％,36/75),iroN(38.7％,23/75)and iucA(37.3％,15/75).Conclusions The CRKP strains isolated from the intensive care units were mainly ST11-KL64 and ST11-KL47 types.Most of the strains harbor blaKPC-2 and virulence gene,and associated with high level antimicrobial resistance.It is urgent to strengthen the monitoring of molecular epidemiological characteristics of CRKP in order to inform individualized and precision treatment of CRKP infections.

Objective: To investigate the risk factors for yersiniosis, so as to provide insights into prevention of yersiniosis. Methods: The patients with yersiniosis admitted to the clinics in the surveillance site of Chengbei Township of Jin'an District and Chengnan Township of Yu'an District in Lu'an City from 2013 to 2021 were included as the case group, and the healthy family members matched to cases were selected as the family control group, while normal residents with a 1︰2 match in the same village, gender, and age difference within 5 years were included in the community control group. Participants' demographics, hand-washing and eating habits, living environment hygiene, poultry and livestock feeding were collected using questionnaire surveys, and factors affecting yersiniosis were identified using a multivariable conditional logistic regression model. Results: There were 43 cases in the case group, with a median (interquartile range) age of 45 (34) years, 91 cases in the family control group, with a median (interquartile range) age of 36 (36) years and 86 cases in the community control group, with a median (interquartile range) age of 46 (34) years. Multivariable conditional logistic regression analysis showed that compared with the family control group, the habit of drinking unboiled water (OR=6.721, 95%CI: 1.765-25.588), and direct consumption of food stored in the refrigerator (OR=7.089, 95%CI: 1.873-26.829) were risk factors for yersiniosis in the case group; and compared with the community control group, not washing hands after contacting with poultry and livestock (OR=50.592, 95%CI: 2.758-927.997), habit of eating raw vegetables and fruits (OR=5.340, 95%CI: 1.022-27.887), direct consumption of food stored in the refrigerator (OR=19.973, 95%CI: 2.118-188.336), and unclean refrigerator (OR=12.692, 95%CI: 1.992-80.869) were risk factors for yersiniosis in the case group. Compared with the family and community control groups, not washing hands after contacting with poultry and livestock (OR=4.075, 95%CI: 1.427-11.637), habit of drinking unboiled water (OR=4.153, 95%CI: 1.331-12.957), habit of eating raw vegetables and fruits (OR=4.744, 95%CI: 1.609-13.993), and direct consumption of food stored in the refrigerator (OR=5.051, 95%CI: 1.773-14.395) were risk factors for yersiniosis in the control group. Conclusion Unhealthy habits such as eating raw vegetables and fruits, drinking unboiled water, direct consumption of food stored in the refrigerator, unclean refrigerator, and not washing hands after contacting poultry and livestock may increase the risk of yersiniosis.