Clinical drug trials are confronted with two major issues: first, data authenticity, for instance, if any data falsification is conducted during the whole trial; second, whether the standard of procedure is accordingly conducted throughout the whole trial or not. Currently, both domestic and overseas clinical drug trials are not supervised without delay (ex-post inspection). Blockchain technology can improve the efficiency of Food and Drug Administration and the transparency of trials while the rights and safety of human research subjects are guaranteed by the integrated technology such as chained structure, asymmetry key algorithm, hash algorithm, and smart contract. Furthermore, with the assistance of internet of things (IoT) and artificial intelligence (AI), the actual supervision over the whole trial and automatic recruitment of human research subjects are expected to achieve.

Traditional fundus surgery requires ophthalmologists to be equipped with sophisticated operating techniques, but even with the most sophisticated operating techniques, fundus surgery still has great risks. Therefore, in order to reduce the risk of surgery and improve the quality of surgery, it is very necessary to improve the traditional fundus surgery. In recent years, with China’s strong support for the artificial intelligence industry, robots used in various industries have been born. Robot auxiliary system (RAS) is widely used in the medical field, especially in ophthalmology. By summarizing the cases of fundus surgery with RAS in recent years and comparing the fundus surgery involving RAS with traditional fundus surgery, it can be found that the application of RAS in fundus surgery can significantly improve the efficiency of surgery and reduce the risk of surgery. The future development trend of RAS may focus on the close integration with deep learning algorithms, which can predict and optimize the field of view images during surgery so that high-precision fundus surgery can be more efficient and safer.

Objective: This study aimed to compare the accuracy of six new generation intraocular lenses (IOL) refractive power calculation formulas (Barrett Universal Ⅱ [BU Ⅱ ], Emmetropia Verifying Optical [EVO], Hill-Radial Basis Function [Hill-RBF], Kane, Ladas Super Formula [LSF], T2) and traditional formulas (Haigis, Hoffer Q, Holladay 1, SRK/ T). Methods: The patients who received cataract surgery in the Eye Hospital of Wenzhou Medical University from January 2022 to June 2022 were included in this study. Age, gender, axial length (AL), mean keratometry, anterior chamber depth, IOL constant and power, and postoperative refraction results were collected. The prediction accuracy of these ten IOL power calculation formulas was analyzed, including mean prediction error (ME) and its standard deviation, mean absolute prediction error (MAE), median absolute prediction error (MedAE), maximum absolute prediction error (MaxAE), the percentage of eyes of PE within the range of ±0.25 D, ±0.5 D, ±0.75 D, ±1.0 D (%±0.25 D,%±0.50 D, %±0.75 D, %±1.00 D). Results: 506 eyes of 506 patients were included. Kane has the lowest MAE (0.411).%±0.25 D of Hill-RBF was the highest (40.91%), %±0.50 D or %±0.75 D of EVO was the highest (69.37%, 86.17%), and %±1.00 D of BU Ⅱ and Hill-RBF was the highest (94.07%). There are significant differences in MAE, %±0.50 D, %±0.75 D, and %±1.00 D among all formulas (P<0.05). Still, pairwise comparison only found differences between EVO (86.17%), Hill-RBF (85.97%), Kane (85.57%), and Hoffer Q (81.42%) in %±0.75 D (all P<0.05). In AL subgroup, the MAE of EVO (0.390), Hill-RBF (0.388), T2 (0.423) and Kane (0.393) in long AL group was different from that of Hoffer Q (0.681) and Holladay 1 (0.654) (all P<0.05), the difference of %±0.50D of EVO (74.47%) compared with Hoffer Q (46.81%) (P=0.017). Conclusion: The new generation of IOL power calculation formulas have good accuracy in IOL power prediction, but for eyes with different axial lengths and keratometry, it is necessary to optimize the selection of formulas to improve the prediction accuracy further.

As a new non-invasive and simple subjective examination method, critical flicker fusion frequency (CFF) can dynamically reflect the changes of visual function of human eyes. As a sensitive indicator for early identification of demyelinating diseases and assessment of visual function recovery, it has been used by foreign scholars in the last century in the field of retinal and optic nerve diseases, including chloroquine toxic retinopathy, diabetic retinopathy, central serous retinopathy, age-related macular degeneration, ethambutol-induced optic neuropathy, optic neuritis and non-arteritic anterior ischemic optic neuropathy. Though there was a different decrease of CFF in retina and optic nerve diseases, it may be helpful for the differentiation of retinal and optic nerve diseases according to the degree of CFF improvement and the main damaged color light. Moreover, CFF has a good correlation with other visual functions, visual acuity, visual field, and peak time of visual evoked potential. At present, and relevant domestic studies is still in its infancy. This article summarizes the application of CFF in retinal and optic nerve diseases.

    Artificial intelligence (AI) has been proposed as a potential solution to address the shortage of ophthalmologists in China. With the increasingly extensive application of AI in the field of ophthalmology, many potential patients with eye diseases have access to a higher quality of medical services. At the same time, new challenges will emerge and proliferate with the advancement of AI application. This paper focuses on the patient handoffs process and discusses two challenges brought by the application of AI, namely “communication” and “standardization”. Natural language processing techniques and the development of standardized databases are proposed to solve each of these challenges. The application prospects of AI in ophthalmology are eventually discussed.

Congenital ectopia lentis is a relatively rare zonular disorder of the lens, and its surgical treatment is extremely challenging. The traditional surgical procedures represented by intraocular lens suspension are prone to result in serious complications such as capsular bag rupture, vitreous hernia, intraocular lens dislocation and secondary glaucoma. In recent years, with the goal of reconstructing the capsular bag–zonules diaphragm, the application of new capsular bag-assisted devices has greatly improved the surgical success rate of congenital ectopia lentis. However, the capsular-assisted devices, such as modified capsular tension ring, are still difficult to be popularized in China and the surgical procedures are complicated. Therefore, how to maximize the use of common equipment such as normal capsular tension rings and design a safe and reliable surgical method for the treatment of congenital ectopia lentis is an urgent issue for ophthalmologists. This article aims to introduce a two-stage capsular tension ring fixation for the treatment of congenital ectopia lentis, which has many advantages such as simple and safe operation, stable postoperative effect and less requirements for special equipment, and is worth promoting in clinical practice.

Artificial intelligence (AI) is about simulating and expanding human intelligence. AI based on deep learning (DL) can analyze images well by using their inherent features, such as outlines, frames and so on. As researchers generally diagnoses ocular fundus diseases by images, it makes sense to apply AI to fundus examination. In ophthalmology, AI has achieved doctor-like performance in detecting multiple ocular fundus diseases through optical coherence tomography (OCT) images, fundus photographs, and ultra-wide-field (UWF) images. It has also been widely used in disease progression prediction. Nonetheless, there are also some potential challenges with AI application in ophthalmology, one of which is the black-box problem. Researchers are devoted to developing more interpretable deep learning systems (DLS) and confirming their clinical feasibility. This review describes a summary of the state-of-the-art AI application in the most popular ocular fundus diseases, potential challenges and the path forward.

Objective: To analyze the relationship between corneal B/F ratio and postoperative refractive error in age-related cataract patients, and to explore the impact of B/F ratio on the accuracy of intraocular lens power calculation. Methods: A total of 197 age-related cataract patients (197 eyes) who were treated in the cataract center of our hospital from March 2019 to November 2019 and were going to undergo monocular cataract surgery were selected. The biological parameters of the anterior segment were measured by Pentacam anterior segment analyzer before surgery, and the patients were divided into three groups (25% below the B/F ratio, 25%~75%, and 25% below the B/F ratio) with the lower limit and the upper limit of 25%. Three months after surgery, the postoperative refractive state of patients was evaluated by automatic computerized refractometer, and the postoperative refractive error (PE) was calculated, and the percentage differences of mean refractive error (ME), mean absolute error (MAE), median absolute error (MedAE) and refractive error in the range of ±0.25, ±0.50, ±0.75, ±1.00 and < ±1.00D were evaluated. Results: The B/F ratio was moderately correlated with postoperative refractive error in age-related cataract patients (r= ?0.445, P < 0.001). With the increase of B/F ratio, the refractive state of patients shifted from hyperopia to myopia after surgery, and the MAE and MedAE were 0.55 D and 0.46 D respectively in 3 months after surgery. The percentages of refractive error in the range of ±0.25, ±0.50, ±0.75, ±1.00 and < ±1.00 D were 29.4%, 52.8%, 71.6%, 87.6% and 12.7%, respectively. After adjusting the corneal curvature according to the B/F ratio of the population based on our previous study, MAE and MedAE were 0.51 D and 0.43 D, respectively, which were lower than those before correction (P< 0.05). Conclusions: There is a correlation between B/F ratio and postoperative refractive error in age-related cataract patients. As the B/F ratio increased, the refractive state of the patient gradually drifted from farsightedness to myopia after cataract surgery, and the more the B/F ratio deviated from the normal average, the greater the absolute value of the patient's refractive error.

Objective: To evaluate the efficacy and safety of ultrapulse carbon dioxide (CO₂) laser in the treatment for various types of eyelid tumors. Methods: A total of 50 patients, including 12 males and 38 females,with eyelid tumors were included in the study The age range is  from 4 to 84 years, with an average age of 37.9±20.0 years. The tumors found in our study include eyelid pigmented nevus, xanthelasma, divided nevus, and molluscum. Among them, 25 cases involved the gray line of the eyelid,and 10 cases had a tumor diameter greater than 10 mm. All patients underwent ultrapulse CO₂ laser treatment and postoperative follow-up. The treatment outcomes were assessed through digital photos, and complications were recorded one month after surgery. Results: The total cure rate of the 50 cases of eyelid tumors in our study was 92%, with the effective rate reaching 100%. 4 cases of eyelid pigmented nevi recurred within one month after treatment, while all other patients were cured. Postoperative complications mainly included minor trichiasis (5 cases), partial sparse to absent eyelashes (4 cases), and hypertrophic scar with hyperpigmentation (4 cases). No other serious complications were reported in our study. Conclusions: For eyelid tumors, especially eyelid margin and larger tumors, the ultrapulse CO₂ laser is a more precise, minimally invasive, safe and effective treatment method. It can be used as a preferred treatment option for eyelid tumors, and should be promoted widely in clinical practice.

Diabetes retinopathy (DR) is the main cause of visual impairment in the working population worldwide. Patients with pre-diabetes and pre-clinic diabetic retinopathy are regarded as in high risk group of DR. The changes in morphology and function of renal neurons and retinal micro-vessels can be found in these patients at this stage. The changes of retinal nerve structure can be partly reflected by changes in the thickness of retina and nerve fiber layer. The changes in function of retinal neurons can be reflected by changes in color vision, contrast sensitivity, visual field and visual electrophysiology.With the development of optical coherence tomography angiography, changes in retinal micro-vessels can be observed prior to clinical detection of DR. In addition, many biomarker can also predict and evaluate DR. Since there is no way to prevent the occurrence and progress of DR at present, more attention should be paid in DR by observing the changes inthe retina mentioned above timely, to reduce its incidence and minimize the visual damage caused by DR.