In September 2023， the Measures for Scientific and Technological Ethics Review （Trial Implementation） was issued， revising the provisions related to the simplified procedure for ethical review in Chapter 3， Section 3. This revision of these provisions provides systematic guarantees for further optimizing ethical review work， ensuring that ethical review procedure is well-regulated， and improving scientific research efficiency. The “simplified procedure” does not mean reducing the quality and requirements of the review. Instead， based on always following internationally recognized ethical standards and emphasizing not violating national laws and regulations， improving the efficiency of ethical review and subsequent research work， and promoting the development of life sciences and medical research involving humans. In practical work， it introduces numerous new opportunities and challenges for the improvement of ethics review ability， such as new tests on the judgment and decision-making power of ethics committees， how to ensure the reliability and controllability of the conditions related to the simplified review procedure， and how to determine the basic conditions for adopting the simplified review procedure for review. Therefore， to actively respond to the challenges and possible risks brought by the simplified procedure review， efforts should be made to achieve three “unifications”， including the unification of researchers’ moral autonomy and the heteronomy of supervision implemented by relevant departments； the unification of the standard formulation of the simplified procedure review and the review work in practice； and the unification of ethical responsibility and legal responsibility.

Exosomes are ubiquitous in all types of body fluids, exhibiting a high degree of abundance and diversity. Given their distinctive structure and function, exosomes are involved in a range of life activities, including intercellular communication, material transport, and immune regulation. An increasing number of studies have identified exosomes as a source of diagnostic markers for diabetic retinopathy. Furthermore, exosomes represent a novel avenue for therapeutic intervention, with promising clinical applications. This paper examines the diagnostic and therapeutic mechanisms of exosomes in diabetic retinopathy, reviews the advancements in exosomes-based diagnostics and therapeutics for diabetic retinopathy, and aims to enhance the precision and efficiency of clinical diagnosis and treatment of diabetic retinopathy.

The rapid development of intelligent ophthalmology research in recent years still faces some challenges in its clinical application or clinical translation process. Two important issues that urgently need to be addressed in the development of intelligent ophthalmology are: promoting clinical application and maintaining medical equity. In response to the aforementioned issues, this article analyzes the reasons and current situation of the insufficient promotion of clinical application and the potential challenges of medical equity, and proposes that promoting clinical application and maintaining medical equity are key issues in the development of intelligent ophthalmology. At the same time, it systematically proposes corresponding specific measures to promote the development of intelligent ophthalmology.

Glaucoma is an eye disease characterized by pathologically elevated intraocular pressure, optic nerve atrophy, and visual field defects, which can lead to irreversible vision loss. In recent years, the rapid development of artificial intelligence(AI)technology has provided new approaches for the early diagnosis and management of glaucoma. By classifying and annotating glaucoma-related images, AI models can learn and recognize the specific pathological features of glaucoma, thereby achieving automated image analysis and classification. Research on glaucoma imaging classification and annotation mainly involves color fundus photography(CFP), optical coherence tomography(OCT), anterior segment optical coherence tomography(AS-OCT), and ultrasound biomicroscopy(UBM)images. Color fundus photography is primarily used for the annotation of the optic cup and disc, OCT is used for measuring and annotating of the thickness of the retinal nerve fiber layer, and AS-OCT and UBM focus on the annotation of the anterior chamber angle structure and the measurement of anterior segment structural parameters. To standardize the classification and annotation of glaucoma images, enhance the quality and consistency of annotated data, and promote the clinical application of intelligent ophthalmology, this guideline has been developed. This guideline systematically elaborates on the principles, methods, processes, and quality control requirements for the classification and annotation of glaucoma images, providing standardized guidance for the classification andannotation of glaucoma images.

Chronic obstructive pulmonary disease(COPD)is a group of lung diseases characterized by persistent airflow limitation, often accompanied by chronic hypoxia. This chronic hypoxia can lead to structural and functional changes in the walls of blood vessels throughout the body, causing vascular injury and altered vascular reactivity. The retina and choroid are key ocular structures with rich blood supply and are particularly prone to microstructural changes due to ischemia and hypoxia. Optical coherence tomography(OCT), an ideal tool for observing these microstructural changes, serves as a non-invasive method for assessing retinal microstructures and microvascular pathology. Currently, there is a lack of comprehensive reviews summarizing OCT-based morphological changes in the eyes of COPD patients. This paper provides an in-depth review of existing studies on ocular OCT in COPD patients, focusing on structural and blood flow changes in the retina and choroid. The primary goal of this review is to summarize the impact of COPD on ocular microstructures, explore the underlying mechanisms of these morphological changes, and offer new perspectives for assessing eye diseases in COPD patients.

This paper provides a comprehensive analysis of the current state of intelligent ophthalmology in China, including technological advancements, academic exchange platforms, policy support, future challenges, and potential solutions. Technologically, remarkable progress have been made in various areas of intelligent ophthalmology in China, including diabetic retinopathy, fundus image analysis, and crucial aspects such as quality assessment of medical artificial intelligence products, clinical research methods, technological evaluation, and industrial standards. Researchers are constantly improving the safety and standardization of intelligent ophthalmology technology by formulating clinical application guidelines and standards. Academic exchange platforms have been established to provide extensive collaboration opportunities for professionals across diverse fields, and various academic journals serve as publication platforms for intelligent ophthalmology research. Regarding public policy, the Chinese government has not only established a supportive policy environment for the advancement of intelligent ophthalmology through various documents and regulations, but provided a legal basis and management framework. However, there are still challenges to overcome, such as technological innovation, data privacy and security, outdated regulations, and talent shortages. To tackle these issues, there is a requirement for increased technological research and development, the establishment of regulatory frameworks, talent cultivation, and greater awareness and acceptance of new technologies among patients. By comprehensively addressing these challenges, intelligent ophthalmology in China is expected to continue leading the industry's global development, bringing more innovation and convenience to the field of ophthalmic healthcare.

Retinoblastoma is a kind of malignant eye tumor commonly seen in children, which is one of the main causes threatening children's vision and life. The diagnosis and evaluation of retinoblastoma has always been a hot topic in clinic. In the past few years, the application of artificial intelligence(AI)technology has made significant progress in the medical field, providing new opportunities and challenges for the diagnosis and treatment of retinoblastoma, for example, the use of AI algorithms to analyze massive clinical data, which can help doctors diagnose the disease more accurately and provide personalized treatment plans. In addition, AI technology also plays an important role in medical image analysis, genomics research and other aspects, which can help the development of new drugs and improve patient prognosis. This article reviews the application progress of AI in retinoblastoma.

Objective:To clarify the medical security plan and its practical effects at the main venue of the 19th Hangzhou Asian Games.Methods:The plan described the medical security implementation plan of the main venue of the 19th Asian Games in Hangzhou (organizational management and operation mechanism, medical security operation system, standardized training and support processes, application of Asian Games intelligent first aid security system, and so on). And through high-facticity simulation verify the operation effect of the main venue's medical support (team mode and response time). Finally, the feasibility and effectiveness of the medical security program verified through the effect of medical services (quantity, disease types, transfers, etc.) during the Asian Games and Asian Paralympic Games.Results:The medical security team of the main venue of the 19th Hangzhou Asian Games included the management team and the operation team, of which consisted of 44 medical staffs (22 doctors and 22 nurses); and were deployed to 16 different security positions. It was also accompanied with 16 volunteers to assist medical staff to transport patients. In addition, a total of 300 medical observers were enrolled in audience area to assist rapid identification, intervention, and collaborative diagnosis and treatment with the medical team. Medical security teams were arranged to cover all the audience areas who can arrive at the patient's area within 2 minutes after receiving orders, transfer the patient to the ambulance’s site in 8 minutes, and transport the patient to a designated hospital within 10-20 minutes. During the Asian Games and Asian Paralympic Games, the medical-care team treated a total of 3 742 patients, including 9 patients transported from medical service sites of the audience area to the stadium infirmary, as well as 83 patients referred to the designated hospital.Conclusions:The medical security implementation plan for the main venues of the Asian Games provides good medical security for the Asian Games and Asian Paralympic Games. It also provides theoretical and practical experience for the development of the medical security system for international events in future.

Objective:To construct a nursing quality evaluation index system for knee ligament injury to provide a basis for standardizing the nursing practice and improving the nursing quality of knee ligament injury.Methods:Based on the three-dimensional quality structure model of "structure-process-outcome" proposed by Donabedian, the quality evaluation index system for knee ligament injury specialties was constructed through literature review, brainstorming, and Delphi expert consultation from April to June 2023.Results:Sixteen experts were included in the inquiry. The effective recovery rate of the two rounds of expert correspondence questionnaires was 16/16, the expert authority coefficient was 0.95, and the Kendell harmony coefficients of the expert correspondence were 0.116 and 0.122, respectively (both P<0.05). The final constructed knee ligament injury specialty care quality evaluation index system contained 3 primary indicators (structural quality, process quality and outcome quality), 16 secondary indicators, and 69 tertiary indicators.Conclusions:The specialized nursing quality evaluation index system for knee ligament injury constructed in this study is scientific and reliable, which can provide a basis for the evaluation and assessment of the nursing quality of knee ligament injury specialties and promote the continuous improvement of their nursing quality.

Objective:To investigate the therapeutic effect difference between first-line treatment with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKI) and chemotherapy in non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) rare mutation.Methods:A retrospective case-control study was performed. Data of NSCLC patients with rare EGFR mutation who were treated in Shanxi Province Cancer Hospital from January 2013 to October 2019 were retrospectively analyzed. EGFR mutations in living tissues or blood were detected by using amplification refractory mutation system-polymerase chain reaction (ARMS-PCR) before first-line treatment. According to first-line treatment methods,they were divided into EGFR-TKI treatment group and chemotherapy group. Objective remission rate (ORR) and disease control rate (DCR) of both groups were compared. Kaplan-Meier method was used to draw progression-free survival (PFS) and the overall survival (OS) curves. Log-rank test was used for comparison among groups. Single-factor and multi-factor Cox proportional risk models were used to analyze the influencing factors of PFS and OS.Results:A total of 169 patients with EGFR rare mutations were included, and the age [ M (IQR)] was 63 years (12 years); there were 96 cases (56.8%) < 65 years and 73 cases (43.2%) ≥65 years; 70 (41.4%)males and 99 (58.6%) females; 55 cases (32.5%) had EGFR G719X mutation,45 cases (26.6%) had L861Q mutation, 17 cases (10.1%) had S768I mutation, and 52 cases (30.8%) had complex mutation; 55 cases (32.5%) received the first-line chemotherapy and 114 cases (67.5%) received the first-line EGFR-TKI treatment. In the chemotherapy group, ORR was 36.4% (20/55) and DCR was 85.5% (47/55); in EGFR-TKI treatment group, ORR was 72.8% (83/114) and DCR was 90.4% (103/114). The ORR of EGFR-TKI treatment group was higher than that of chemotherapy group ( χ2 = 20.70, P = 0.001), and there was no statistically significant difference in DCR between two groups ( χ2 = 1.76, P = 0.184). Subgroup analysis showed that ORR in EGFR-TKI treatment group with G719X, L861Q and complex mutations was higher than that of the corresponding mutations in chemotherapy group, and the differences were statistically significant (all P < 0.05), while there were no significant differences in DCR among subgroups (all P > 0.05). The median PFS time was 9.7 months (95% CI: 6.0-13.4 months) and 3.8 months (95% CI: 3.1-7.1 months), respectively in EGFR-TKI treatment group and chemotherapy group, and there was a statistically significant difference in PFS between the two groups ( P < 0.001). The median OS time was 25.6 months (95% CI: 18.0-37.9 months) and 31.7 months (95% CI: 18.0-42.8 months), respectively in EGFR-TKI treatment group and chemotherapy group, and there was no statistically significant difference in OS between the two groups ( P = 0.231). Multivariate Cox regression analysis showed that brain metastasis [with vs. without: HR = 2.306, 95% CI: 1.452-3.661, P < 0.001] and the first-line treatment methods (EGFR-TKI vs. chemotherapy: HR = 0.457, 95% CI:0.317-0.658, P < 0.001) were independent influencing factors for PFS of NSCLC patients with EGFR rare mutation; brain metastasis (with vs. without: HR = 2.087, 95% CI: 1.102-3.953, P = 0.024; unknown vs. without: HR = 2.118,95% CI: 1.274-3.520, P = 0.004) were independent influencing factors for OS of NSCLC patients with EGFR rare mutation. Conclusions:Compared with the first-line chemotherapy, EGFR-TKI first-line treatment could improve objective remission and PFS of NSCLC patients with EGFR rare mutation, while no OS benefit is observed.