Contact lens has been widely applied worldwide, and the advancement of fitting strategy is one of the reasons which improve the safety and comfort of contact lens fitting. During the contact lens fitting procedure, more and more ophthalmic imaging modalities have been applied to guide the contact lens fitting. These techniques simplify the contact lens fitting procedure, help optometrists accurately perform the customize contact lens fitting, and assist the personalized contact lens design technique.

Systemic diseases affect eyeballs through certain ways, resulting in eye diseases; The severity of eye diseases is closely related to the progress of systemic diseases. By identifying eye diseases, artificial intelligence (AI) can assess systemic diseases, so as to make early diagnosis of systemic diseases. For example, detection of the degree of icteric sclera can be used to assess jaundice. Detection of the hemodynamics of posterior eyeball can be used to evaluate cirrhosis. Detection of optic disc edema and macular degeneration can be used to evaluate the progress of chronic kidney disease (CKD). Detection of ocular fundus vascular injury can be used to assess diabetes, hypertension and atherosclerosis. Clinicians can estimate the risk of systemic diseases through eye images, and its accuracy depends on the experience level of clinicians, while the accuracy of AI in identifying eye diseases and evaluating systemic diseases can be comparable to clinicians. After combining various detection indexes, the specificity and sensitivity of AI model can be significantly improved, so early diagnosis and early treatment of systemic diseases can be realized by making full use of AI.

Carbon dots is a new type of fluorescent carbon nanomaterial, which the diameter is generally less than 10 nm, has the advantages of self-fluorescence, remarkable biocompatibility, easy modification, low cost and so on, has a broad application prospect in the biomedical field. Due to the unique barrier of the eye, conventional drugs have a short residence time and poor penetration, so the concentration of drugs that can reach the lesions through local eye drops is limited, and for what to increase the frequency of administration to maintain efficacy. Up to now, the treatment of posterior eye diseases, such as diabetic macular edema (DME), choroidal neovascularization (CNV) and other diseases still rely on repeated vitreous injection, which is an invasive procedure with potential complications, and need multiple injections, causing a heavy psychological and economic burden on patients. Optimizing the method of ocular drug delivery has always been a hot topic in the field of ophthalmology. Carbon dots have shown excellent application potential in the ocular drug delivery, ocular imaging, and diagnosis and treatment of ocular disease based on its excellent characteristics. This review will systematically introduce the characteristics of carbon dots and the application of carbon dots in the diagnosis and treatment of eye diseases, aiming to provide a comprehensive understanding of the current situation of the application of carbon dots in ophthalmology and provide directions for future research.

The rapid evolution of digital ophthalmology technology has profoundly transformed various fields within ophthalmology. This article provides a comprehensive overview of the research and advancements in cutting-edge ophthalmology technologies, emphasizing both domestic and global breakthroughs and achievements. For instance, artificial intelligence has demonstrated remarkable potential in precise monitoring of various diseases, efficient assessment of high-prevalence conditions, and the technological support for telemedicine, thereby enhancing the accuracy and efficiency of screening, diagnosis, treatment processes, while alleviating the workload of medical professionals. Additionally, digital imaging technology has made significant strides in surgical navigation and diagnostic imaging, while 3D modeling and novel machine learning techniques have contributed to surgical planning and enhanced surgical success rates, ultimately delivering more efficient and convenient services to patients with eye diseases worldwide. Despite the diversified development trends and interdisciplinary collaborations that digital ophthalmology technology exhibits, many of these cutting-edge technology are still in their infancy, facing challenges in achieving high coverage, algorithm accuracy and interpretability, medical ethics, public acceptance, medical disputes, and clinical technical hurdles. Nonetheless, while the continuous advancement of medical standards, it is anticipated that these technologies will undergo further refinement and widespread adoption.

Spaceflight associated neuro-ocular syndrome (SANS) refers to a series of ocular, neurological and neuroimaging manifestations observed in astronauts during and after long-term space flight, including optic disc edema, posterior globe flattening, choroid-retinal folds, and hyperopic refractive shift. These effects may have short-term or longterm on vision , cognitionand other aspects of astronauts’ health. Therefore, elucidating the pathogenesis of SANS, conducting effective ground simulation experiments, and developing corresponding mitigation strategies are crucial for enabling deeper and longer-duration space exploration. Current understanding of the pathogenesis of SANSincludes increased intracranial pressure, fluctions in cerebral blood volume and vascular remodeling, upward displacement of the brain and optic chiasm, imbalance in ocular lymphatic system flow, cytotoxic edema, and orbital fat swelling, etc. Among the various ground simulation experimens, the 6 ° head-down tilt bed rest has been extensively studied and has been shown to replicate various manifestations of SANS, such as optic nerve sheath expansion, retinal nerve layer thickening, choroidal thickness increase and optic disc edema. Additionally, dry immersion and parabolic flight have also demonstrated some aspects of SANS during ground simulation experiments.The use of lower body negative pressure has been identified as a potential countermeasure to reduce choroidal thickening and increase in optic nerve sheath diameter. Furthermore, positive pressure goggles are also expected to be an effective strategy for mitigating the effectsof SANS.This article provides a comprehensive review of the relevant advancements in the field of SANS, both domestically and internationally.

It is reported in this article that a 40-year-old female patient presented with "progressive blurred vision of both eyes for 3 months". The patient underwent bilateral laser in situ keratomileusis (LASIK) because of high myopia in 2005. It was recorded that her best corrected visual acuity was 0.2 (–11.00 DS/ –1.25 DC×170 °) in the right eye and 0.7 (–4.00 DS/ –0.75 DC×25 °) in the left, and clear cornea, normal anterior chamber, cloudy lens, tessellated fundus with posterior staphyloma in both eyes. The patient was diagnosed with bilateral complicated cataract. Phacoemulsification combined with intraocular lens (IOL, +14.0 diopter (D)) implantation was performed on the right eye, with the target –0.5D refractive diopter . One week after surgery, it was recorded that the uncorrected visual acuity of the right eye was 0.3, and the best corrected visual acuity was 0.7 (+2.75 DS). IOL replacement of the right eye was performed two weeks after surgery, the +14.0 D IOL was replaced by +17.0 D IOL. One week after surgery, the uncorrected visual acuity of the right eye was 0.8 (–0.75 DC×15 °).

Objective: To assess the benefits of intraocular lens (IOL) constant optimization of Alcon Acrysof IQ PanOptix TFNT00 (PanOptix) on the accuracy of IOL power calculation, and the effects of constant optimization between different axial length (AL) groups were further compared. Methods: Patients who underwent phacoemulsification and implantation with PanOptix IOL between June, 2021 and March, 2022 were included in this retrospective study. The preoperative biological ocular parameters, implanted IOL power, and subjective 1-3 months postoperative refraction were collected. Combined with SRK/T, Hoffer Q, Holladay 1 and Haigis formulas, the optimized IOL constant A, surgeon factor (SF), post-surgery anterior chamber depth (pACD), and a0, a1, a2 were back-calculated. Refractive outcomes using optimized IOL constants were re-calculated combined with the corresponding formulas. Compare the mean absolute error (MAE), medium absolute error (MedAE) and percentage of eyes with IOL prediction errors (PE) within ±0.25, ±0.50, ±0.75 and ±1.00 (diopter)D when using the optimized constants and the manufacture constants. Patients were divided into two groups according to AL (non-high myopia: <26.0 mm; high myopia: ≥26 mm), compare the difference of IOL constant optimization between AL subgroups. Results: A total of 92 eyes of 54 patients were enrolled. The manufacture lens constant of A, pACD, SF, a0, a1 and a2 are respectively 119.1, 5.63, 1.83, 1.39, 0.4 and 0.1; and the optimized values are respectively 119.35, 6.14, 2.36, ?3.42, 0.12 and 0.34. In all patients group, with manufacture lens constant, the MAE values of SRKT, Hoffer Q, Holladay 1 and Haigis formula are 0.44, 0.50, 0.54, 0.46 D; with optimized lens constants, the MAE values are 0.43, 0.54, 0.51, 0.35 D, and there is a statistical difference of Haigis formula after optimization (P=0.001). In non-high myopia group, with manufacture lens constant, the MAE values are 0.46, 0.40, 0.40, 0.42 D; with optimized lens constants, the MAE values are0.46, 0.38, 0.39, 0.38 D, and no statistical difference has been found(P>0.05). In high myopia group, with manufacture lens constant, the MAE values are 0.42, 0.59, 0.66, 0.50 D; with optimized lens constants, the MAE values are 0.36, 0.48, 0.47, 0.31 D, and there are statistical differences of Holladay 1 and Haigis formula after optimization (P = 0.020, 0.002). Conclusion: IOL constant optimization of PanOptix IOL can improve the accuracy of IOL calculation, which is more significant in the high myopia group.

With the rapid development of artificial intelligence (AI) technology, its application in the field of healthcare is bringing revolutionary changes. Cataracts, as one of the most common reversible visual impairments worldwide, still face many practical issues in terms of limited medical resources, low diagnostic accuracy, and low referral efficiency. Therefore, it is crucial to utilize AI technology's powerful computational analysis and intelligent decision-making capabilities to optimize traditional medical practices and safeguard people's visual health.This article investigates the applications of AI technology on a new model of hierarchic diagnosis and treatment for cataracts, including automatic analysis and recognition of cataract images, remote healthcare, and referral support. These applications can bring significant benefits and important impacts to cataract patients, society, and governments. They can help improve the efficiency of cataract diagnosis and treatment, alleviate the imbalance of medical resources, optimize the allocation and management of healthcare resources, and promote societal health progress.However, the practical application of AI technology also faces risks and challenges. It is important to fully prioritize and protect patients' data privacy and security by establishing strict regulatory and oversight mechanisms. Additionally, continuous efforts should be made to enhance technological innovation and comprehensively evaluate the robustness, fairness, and interpretability of AI algorithms to further improve the accuracy and trustworthiness of AI systems.

It is estimated that there are nearly 1.4 billion myopic people in the world, and myopia becomes a significant global health problem. Myopia not only affects visual health, but also leads to serious complications such as macular degeneration and retinal detachment, which can cause blindness in severe cases. Apart from its impact on health, myopia also imposes a substantial economic burden. This burden includes direct medical costs (e.g., expenses for eyeglasses, contact lenses, and corrective surgeries) as well as indirect costs (e.g., reduced productivity, learning abilities, and quality of life). The prevalence of myopia is particularly high in China, posing a threat not only to individual health, but also to society and the economy. International studies on the economic burden of myopia have examined the direct medical costs, patient time costs and productivity loss. These studies help governments and health authorities understand the economic impact of myopia to develop effective public health and resource allocation strategies.. By optimizing medical resources and reducing social costs, these measures aim to alleviate the economic burden. This article provides an overview of the economic burden of myopia, including its definition, measurement, current status at home and abroad, and the importance of prevention and alleviation. It also highlights the current research directions and findings, to provide focusing fields and foundations for future research.

Diabetic retinopathy is the most common diabetic microvascular complication, which is mainly caused by metabolic disorders caused by diabetes. However, in clinical work, it is found that some patients do not achieve satisfactory results in delaying the progress of diabetic retinopathy by simply controlling blood sugar, and some other factors contribute to the occurrence and development of diabetic retinopathy. Also played a role that can not be ignored. Studies have shown that abnormal cholesterol metabolism is one of the main causes of retinopathy in diabetic retinopathy patients with hyperlipidemia. Abnormal cholesterol metabolism leads to the accumulation of cholesterol in the retina and the decrease of retinal vascular endothelial function by weakening the X receptor in the liver, resulting in the formation of retinal ischemia and hypoxia environment. it can also increase the expression of inflammatory cytokines and cell adhesion molecule-1 to make the originally morbid retinal vessels more fragile. This paper summarizes the pathological factors of diabetic retinopathy. By comparing and analyzing the main treatment methods of diabetic retinopathy at present, and by analyzing the influence of cholesterol reverse transport (cholesterolreversetransport,RCT) pathway on the occurrence and development of diabetic retinopathy, it is found that reducing hyperlipidemia can improve the cure rate of diabetic retinopathy, which will provide new ideas for the clinical prevention and treatment of diabetic retinopathy.