Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Objective To analyze the relationship between post-traumatic growth(PTG)and health-related quality of life(HRQOL)among long-term cancer survivors(time since diagnosis≥5 years)and to explore the trends and reasons for changes over time.Methods A total sampling method was used to conduct baseline and follow-up surveys on long-term cancer survivors from 6 cancer registries in Germany during 2008-2011 and 2018-2019.General information questionnaires,Post-Traumatic Growth Inventory,and European Organization for Research and Treatment of Cancer-Quality of Life Questionnaire were applied.The collected data were analyzed using a linear mixed-effects regression model for longitudinal relationships.Results A total of 2704 long-term cancer survivors completed the baseline and follow-up surveys and the effective sample size is 2 686.The high PTG group had a significantly higher overall health status/QOL score than the low PTG group,with a statistically significant difference(P＜0.05).However,the difference in scores between the 2 groups at follow-up was not statistically significant(P＞0.05).The interaction between PTG groups and time was statistically significant for overall health status and insomnia(all P＜0.05).There was a stable positive relationship between PTG and economic difficulty scores with a statistically significant difference(P＜0.001).Conclusion There is a positive correlation between PTG and HRQOL among long-term cancer survivors that weakens over time,and the perceived economic burden related to health is a continuous source of stress.

Objective The purpose of this study was to explore the application effect of BOPPPS combined with case simulation teaching method in nursing risk education of nursing students.By comparing the traditional teaching methods,the in-fluence of BOPPPS combined with case simulation teaching method on nursing students' occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction was evaluated.Methods 100 cases of nursing students in geriatric oncol-ogy department were divided into observation group and control group,50 cases in each group.The control group used traditional teaching methods;the observation group adopted the teaching mode of BOPPPS combined with case teaching method.The occu-pational risk cognition ability,patient safety perception ability and satisfaction with teaching mode were compared between the two groups.Results The occupational risk cognitive ability,patient safety perception ability and teaching satisfaction of the observa-tion group were better than those of the control group(P＜0.05).Conclusion The application of BOPPPS combined with case simulation teaching method in nursing risk teaching of nursing students can improve their occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction.

Objective The purpose of this study was to explore the application effect of BOPPPS combined with case simulation teaching method in nursing risk education of nursing students.By comparing the traditional teaching methods,the in-fluence of BOPPPS combined with case simulation teaching method on nursing students' occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction was evaluated.Methods 100 cases of nursing students in geriatric oncol-ogy department were divided into observation group and control group,50 cases in each group.The control group used traditional teaching methods;the observation group adopted the teaching mode of BOPPPS combined with case teaching method.The occu-pational risk cognition ability,patient safety perception ability and satisfaction with teaching mode were compared between the two groups.Results The occupational risk cognitive ability,patient safety perception ability and teaching satisfaction of the observa-tion group were better than those of the control group(P＜0.05).Conclusion The application of BOPPPS combined with case simulation teaching method in nursing risk teaching of nursing students can improve their occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction.

Objective To analyze the relationship between post-traumatic growth(PTG)and health-related quality of life(HRQOL)among long-term cancer survivors(time since diagnosis≥5 years)and to explore the trends and reasons for changes over time.Methods A total sampling method was used to conduct baseline and follow-up surveys on long-term cancer survivors from 6 cancer registries in Germany during 2008-2011 and 2018-2019.General information questionnaires,Post-Traumatic Growth Inventory,and European Organization for Research and Treatment of Cancer-Quality of Life Questionnaire were applied.The collected data were analyzed using a linear mixed-effects regression model for longitudinal relationships.Results A total of 2704 long-term cancer survivors completed the baseline and follow-up surveys and the effective sample size is 2 686.The high PTG group had a significantly higher overall health status/QOL score than the low PTG group,with a statistically significant difference(P＜0.05).However,the difference in scores between the 2 groups at follow-up was not statistically significant(P＞0.05).The interaction between PTG groups and time was statistically significant for overall health status and insomnia(all P＜0.05).There was a stable positive relationship between PTG and economic difficulty scores with a statistically significant difference(P＜0.001).Conclusion There is a positive correlation between PTG and HRQOL among long-term cancer survivors that weakens over time,and the perceived economic burden related to health is a continuous source of stress.

Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Objective Traditional Chinese medicine tongue diagnosis plays an important role in the clinical diagnosis and treatment of diseases,but the current research results are not applicable to the evaluation of clinical efficacy.This study conducted a hierarchical quantitative study on tongue color based on hyperspectral data of tongue images,making it suitable for clinical efficacy evaluation.Methods Establish inclusion and exclusion criteria,obtain tongue images of different spectral wavelengths within the visible light range of 400-1000 nm,and use traditional Chinese medicine clinical experts to distinguish between red tongue and yellow coating in four different color levels(mild,moderate,severe,and severe).Finally,establish a quantitative prediction model for the grade of red tongue and yellow coating based on machine learning models.Results There were significant differences in hyperspectral curve characteristics between red tongue and yellow coating with different color levels,which could be used as the basis for grade quantification.With the help of principal component analysis+random forest model,85.79%and 88.34%of the red tongue and yellow coating with different color levels could be predicted.Conclusion The use of hyperspectral image data features and machine learning models for predicting different color levels of tongue color has achieved good accuracy.

Promoting wound healing is a common clinical challenge faced by surgeons, with a variety of repair method and materials currently available for clinical use. In recent years, with the continuous development of disciplines such as tissue engineering, regenerative medicine, and materials science, research on wound repair materials has progressed rapidly. This article will organize the classification, advantages and disadvantages, and the latest advancements in the preparation processes of wound repair materials. It will also discuss the current challenges faced by wound repair materials and future research directions, with the aim of providing a reference for related studies in wound repair.

Objective To investigate the factors associated with atrial fibrillation(AF)in patients with Type 2 Diabetes Mellitus(T2DM).Methods Through a case-control study,We selected 688 patients with T2DM who were hospitalized at the First Affiliated Hospital of Kunming Medical University from January 2015 to November 2021.Based on the AF diagnostic criteria,all the patients were divided into a case group(AF group)of 368 cases and a control group(non-AF group)of 320 cases.All patients'clinical data were collected and used Stata 15.1 st-atistical software were used for analyze the relevant influencing factors of AF in patients with T2DM.Results Age,duration of DM,glycated hemoglobin level,body mass index,left atrial diameter,creatinine,C2HEST score,and heart failure might be risk factors for AF in T2DM patients(P＜0.05);among them,age,glycated hemoglobin level,left atrial diameter,C2HEST score might be independent risk factors for AF in T2DM patients;the use of sodium-glucose co-transporter 2 inhibitors(Sodium/Glucose Co-transporter 2 Inhibitor,SGLT2i)and β-blockers(P＜0.05)might be its protective factors.Conclusion Old age,high HbA1c level,increased left atrial diameter,and high C2HEST score maight be independent risk factors for atrial fibrillation in T2DM patients.The use of SGLT2i and β-blockers in T2DM patients may have a protective effect on the occurrence of atrial fibrillation.

Promoting wound healing is a common clinical challenge faced by surgeons, with a variety of repair method and materials currently available for clinical use. In recent years, with the continuous development of disciplines such as tissue engineering, regenerative medicine, and materials science, research on wound repair materials has progressed rapidly. This article will organize the classification, advantages and disadvantages, and the latest advancements in the preparation processes of wound repair materials. It will also discuss the current challenges faced by wound repair materials and future research directions, with the aim of providing a reference for related studies in wound repair.