Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.

Objective To explore the time-varying pattern of potential symptoms in breast cancer patient before and after chemotherapy,and further analyze its influencing factors,aims to provide reference for clinical nursing practice.Methods 233 cases of breast cancer in a tertiary A hospital in Ningxia from June to October,2023 were selected as the research subjects.By the general information questionnaire and the Chinese version of Anderson Symptom Assessment Scale,the potential change of symptoms of breast cancer patients undergoing chemotherapy 1-3 days before the first chemotherapy(T1,233 cases)and 7-14 days after the third or fourth chemotherapy(T2,225 cases)was analyzed.Results 225 cases of breast cancer patients completed 2 surveys,and their symptom characteristics before and after chemotherapy can be divided into 2 categories:a high symptom troubled group and a low symptom troubled group.The high-symptom troubled group has strong stability,and the probability of maintaining the original group is 85.20％,while the low-symptom troubled group is more inclined to change to the high-symptom troubled group,and the transition probability is 26.60％.Logistic regression analysis showed that the mass was located on the left side,and the patients who obtained disease knowledge mainly through the Internet were more likely to change from the high symptom troubled group to the low symptom troubled group,while the patients who were employed,with unsatisfactory sleep at night,and never exercised were more likely to change from the low symptom troubled group to the high symptom troubled group.Conclusion The symptoms of breast cancer patients before and after chemotherapy are heterogeneous.Patients who are on the job,have unsatisfied sleep at night and never exercise are more likely to change from the low-symptom troubled group to the high-symptom troubled group,which suggests that medical staff should identify potential high-risk groups at an early stage,and make full use of the predictive function of symptom characteristics to carry out individualized management based on the dynamic monitoring of symptoms according to different types of population characteristics,so as to reduce the burden of symptoms and improve their quality of life.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.

Objective:To explore the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy, analyze the differences of symptoms among different categories of patients, and compare their quality of life according to different categories.Methods:This was a cross-sectional study. From January to June 2023, 240 patients with early breast cancer who received chemotherapy after surgery in General Hospital of Ningxia Medical University were selected by convenience sampling. They were investigated by general information questionnaire, Memory Symptom Assessment Scale, and Functional Assessment of Caner Therapy-Breast Cancer. Mplus 8.3 was used to carry out potential profile analysis and identify the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy. Binary Logistic regression analysis was used to determine the influencing factors of symptom characteristics. SPSS 26.0 software was used to compare the differences in quality of life scores of patients undergoing postoperative chemotherapy for different categories of early breast cancer.Results:Totally 233 valid questionnaires were ultimately collected, with an age of 50.85 ± 8.09. There were two potential categories of postoperative chemotherapy patients with early breast cancer: low symptom troubled group (159 cases, 68.2%) and high symptom troubled group (74 cases, 31.8%). The quality of life score of the high symptom distress group was (76.84 ± 13.15) points, which was significantly lower than (89.56 ± 11.29) points of the low symptom distress group, and the difference was statistically significant ( t=7.18, P<0.01). Logistic regression analysis showed that patients with early breast cancer who had financial burden after postoperative chemotherapy were more likely to belong to the group with high symptoms [ OR (95% CI) was 3.028 (1.434-6.394), P<0.01]. Postoperative chemotherapy patients with early breast cancer who had satisfactory sleep at night are more likely to belong to the group with low symptoms [ OR(95% CI) was 0.446 (0.217-0.920), P<0.05]. Conclusions:There is population heterogeneity in the symptom characteristics of patients with early breast cancer undergoing postoperative chemotherapy. and economic burden and night sleep are the influencing factors of symptom distress categories of breast cancer patients. It is suggested that medical staff should give individualized and targeted intervention measures centered on patients′ needs according to different types of population characteristics, so as to reduce the symptom burden and improve their quality of life.

Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.

Objective To explore the time-varying pattern of potential symptoms in breast cancer patient before and after chemotherapy,and further analyze its influencing factors,aims to provide reference for clinical nursing practice.Methods 233 cases of breast cancer in a tertiary A hospital in Ningxia from June to October,2023 were selected as the research subjects.By the general information questionnaire and the Chinese version of Anderson Symptom Assessment Scale,the potential change of symptoms of breast cancer patients undergoing chemotherapy 1-3 days before the first chemotherapy(T1,233 cases)and 7-14 days after the third or fourth chemotherapy(T2,225 cases)was analyzed.Results 225 cases of breast cancer patients completed 2 surveys,and their symptom characteristics before and after chemotherapy can be divided into 2 categories:a high symptom troubled group and a low symptom troubled group.The high-symptom troubled group has strong stability,and the probability of maintaining the original group is 85.20％,while the low-symptom troubled group is more inclined to change to the high-symptom troubled group,and the transition probability is 26.60％.Logistic regression analysis showed that the mass was located on the left side,and the patients who obtained disease knowledge mainly through the Internet were more likely to change from the high symptom troubled group to the low symptom troubled group,while the patients who were employed,with unsatisfactory sleep at night,and never exercised were more likely to change from the low symptom troubled group to the high symptom troubled group.Conclusion The symptoms of breast cancer patients before and after chemotherapy are heterogeneous.Patients who are on the job,have unsatisfied sleep at night and never exercise are more likely to change from the low-symptom troubled group to the high-symptom troubled group,which suggests that medical staff should identify potential high-risk groups at an early stage,and make full use of the predictive function of symptom characteristics to carry out individualized management based on the dynamic monitoring of symptoms according to different types of population characteristics,so as to reduce the burden of symptoms and improve their quality of life.

Objective:To explore the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy, analyze the differences of symptoms among different categories of patients, and compare their quality of life according to different categories.Methods:This was a cross-sectional study. From January to June 2023, 240 patients with early breast cancer who received chemotherapy after surgery in General Hospital of Ningxia Medical University were selected by convenience sampling. They were investigated by general information questionnaire, Memory Symptom Assessment Scale, and Functional Assessment of Caner Therapy-Breast Cancer. Mplus 8.3 was used to carry out potential profile analysis and identify the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy. Binary Logistic regression analysis was used to determine the influencing factors of symptom characteristics. SPSS 26.0 software was used to compare the differences in quality of life scores of patients undergoing postoperative chemotherapy for different categories of early breast cancer.Results:Totally 233 valid questionnaires were ultimately collected, with an age of 50.85 ± 8.09. There were two potential categories of postoperative chemotherapy patients with early breast cancer: low symptom troubled group (159 cases, 68.2%) and high symptom troubled group (74 cases, 31.8%). The quality of life score of the high symptom distress group was (76.84 ± 13.15) points, which was significantly lower than (89.56 ± 11.29) points of the low symptom distress group, and the difference was statistically significant ( t=7.18, P<0.01). Logistic regression analysis showed that patients with early breast cancer who had financial burden after postoperative chemotherapy were more likely to belong to the group with high symptoms [ OR (95% CI) was 3.028 (1.434-6.394), P<0.01]. Postoperative chemotherapy patients with early breast cancer who had satisfactory sleep at night are more likely to belong to the group with low symptoms [ OR(95% CI) was 0.446 (0.217-0.920), P<0.05]. Conclusions:There is population heterogeneity in the symptom characteristics of patients with early breast cancer undergoing postoperative chemotherapy. and economic burden and night sleep are the influencing factors of symptom distress categories of breast cancer patients. It is suggested that medical staff should give individualized and targeted intervention measures centered on patients′ needs according to different types of population characteristics, so as to reduce the symptom burden and improve their quality of life.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.

OBJECTIVE To establish an analytical method for the simultaneous determination of multiple anesthetics and their metabolites in aquatic products by ultra performance liquid chromatography-tandem mass spectrometry with pass-through solid phase extraction purification. METHODS After homogenization, the samples were extracted by 80% acetonitrile aqueous solution, and purified by ProElt PLS-A pass-through solid phase extraction column. The extract was determined by positive ion mode with mobile phase of 0.1% formic acid water and 0.1% formic acid acetonitrile in the separation by programmed gradient. Multiple reaction monitoring mode was used to draw standard curves with the matrix-matched method. RESULTS The calibration curves of the 14 anesthetics showed good linearity in the concentration range of 1-50 µg·L-1 and their metabolites showed good linearity in the concentration range of 10-500 μg·L-1, with the correlation coefficients >0.99. The limits of detection were 0.5 μg·kg-1 in anesthetics and 5 µg·kg-1 in their metabolites. The lower limits of quantification were 1 μg·kg-1 in anesthetics and 10 μg·kg-1 in their metabolites. The recoveries at high, medium and low concentrations ranged from 62.48% to 116.5% with RSDs<10%. CONCLUSION The method is simple and can be used for the accurate detection of anesthetics and their metabolites in aquatic products with high reliabilities.

Objective:To evaluate the clinical efficacy of Huzhang Polou Decoction combined with acupoint application in the treatment of children with mycoplasma pneumoniae pneumonia (MPP) complicated with atelectasis.Methods:A total of 105 MPP children with atelectasis and phlegm-heat obstructing lung syndrome in our hospital from August 2019 to March 2022, who met the inclusion criteria, were divided into control group (53 cases) and observation group (52 cases), by random number table method. The control group was given azithromycin sequential therapy on the basis of conventional western medicine treatment, and the observation group was given Huzhang Polou Decoction and acupoint application on the basis of the control group. Both groups were treated for 19 days. TCM syndromes were scored before and after treatment. The FEV1 and peak expiratory flow rate (PEF) were measured by pulmonary function measurement instrument. The CRP was measured by immunoturbidimetry and procalcitonin (PCT) was measured by ELISA. The recovery time of fever, disappearance time of cough and sputum, disappearance time of lung rales, lung recruitment time, and adverse reactions during treatment were recorded, and the clinical efficacy was evaluated.Results:The total effective rate was 96.15% (50/52) in the observation group and 84.91% (45/53) in the control group, and the difference between the two groups was statistically significant ( χ2=3.85, P=0.050). After treatment, the TCM syndrome score of the observation group was significantly lower than that of the control group ( t=22.78, P<0.01). FEV1 [(1.87±0.29) L vs. (1.54±0.28) L, t=5.93] and PEF [(79.82±6.29) L/min vs. (74.32±6.30) L/min, t=4.48] were significantly higher than those in the control group ( P<0.01). The levels of serum CRP [(9.18±2.98) mg/L vs. (12.34±3.00) mg/L, t=5.42] and PCT [(0.60±0.15) ng/L vs. (0.96±0.21) ng/L, t=9.93] were significantly lower than those in the control group ( P<0.01). The recovery time of fever, disappearance time of cough and sputum, disappearance time of lung rale and lung recruitment time in the observation group were significantly earlier than those in the control group ( t=7.27, 6.84, 3.76, 5.87, all Ps<0.01). During treatment, the incidence of adverse reactions was 3.77% (2/53) in the control group and 1.92% (1/52) in the observation group, and there was no significant difference between the two groups ( χ2=0.32, P=0.569). Conclusion:The Huzhang Polou Decoction combined with acupoint application can improve the pulmonary function of children with MPP complicated with atelectasis, reduce the level of serum inflammatory cytokines, improve the clinical efficacy safely.