The aim of this review article is to summarize the available literature on physiologic and pathologic ocular changes during pregnancy and the effect of diseases in pregnancy. A literature search was conducted using PUBMED, MEDLINE, and Cochrane library in English. In addition, the cited references in the published articles were manually reviewed for the relevant results. Pregnancy encompasses a multitude of changes in all body systems, including the visual system of the female. The changes can be physiological, i.e., changes occurring in the lids and adnexa, cornea, conjunctiva, changes in tear film composition and intraocular pressure, retina, choroid, and visual field. Pathological changes in a pregnant woman's eye include changes related to preeclampsia and eclampsia, central serous chorioretinopathy, retinal artery or vein occlusions, and disseminated intravascular coagulation. Preexisting diseases like diabetic retinopathy, Graves' disease, idiopathic intracranial hypertension, various inflammatory conditions can undergo changes in their course during pregnancy. Ophthalmic medications can have an effect on both mother and the baby and hence should be used cautiously. In addition, intrauterine infections play a major role in causing inflammation in the eye of the baby. Hence, vaccination of the mother prior to pregnancy plays an important role in preventing intrauterine infections in the neonate. A regular eye examination in the perinatal period plays a vital role in recognizing ophthalmic pathologies which might require a prompt medical intervention. Pathological ocular diseases should be discriminated from physiologic changes to establish an individualized treatment or preventive plan. This approach to ocular benefits of treatment to the mother should always weigh against the potential harm to the fetus.

PURPOSE: To compare the therapeutic effect of sodium hyaluronate (SH)–trehalose (Trehalube, Microlabs, Bangalore, India, SH 0.1% and trehalose 3%) or SH (0.1% Hylotears, Raymed, Chandigarh, India) alone in patients with dry eye disease (DED). MATERIALS AND METHODS: Patients were randomized into two groups: SH-trehalose (SH 0.1% and trehalose 3%) or SH (0.1% Hylotears) alone. The Ocular Surface Disease Index (OSDI) questionnaire was used to assess patient's symptoms. Patients were followed up at 4 and 8 weeks, and OSDI score, tear film break-up time (TBUT), tear film height (TFH), Schirmer's test, and conjunctival staining were evaluated at each visit. RESULTS: A total of 384 patients were included in the study, 192 patients in each arm. The mean age of participants was 37.62 + 14.4 years and 225 were women (56%). The improvement in Schirmer's test was significantly better in the SH-trehalose group at 8 weeks (5.26 + 4.3 mm, 95% confidence interval = 4.6–5.9 mm) compared to the SH group (3.71 + 3.9, 95% confidence interval = 3.15–4.28 mm). The TBUT and TFH showed slight improvement at 4 weeks in both groups, but not at 8 weeks. There were no group differences at all-time points in terms of conjunctival staining and OSDI-based grades of DED. CONCLUSION: It was found that treating dry eye with SH-trehalose leads to greater improvement in the Schirmer's values and TBUT after 8 weeks of sustained use in patients with DED, and this was more pronounced in those with severe DED.

Aim: To determine whether wearing a face mask for more than three to six hours/day leads to the new onset of symptoms or worsening of pre-existing dry eye disease (DED) in healthcare workers (HCWs) of our institute.Methodology: An observational cross-sectional study, where 114 HCWs using face masks regularly participated voluntarily in the study. A survey with a modified Ocular Surface Disease Index (OSDI) questionnaire was completed by participants. They were divided into groups based on their sex, age, how long they had been wearing face masks, and whether they had a history of DED.Results: We found that for HCWs who had previously experienced DED and who were under the age of 40, wearing a face mask for more than three to six hours/day could contribute to or worsen symptoms of DED. Also, we observed that the N-95 mask has a higher chance of causing DED than surgical masks.Conclusion: Medical professionals need to be aware of any potential dry eye symptoms related to the prolonged use of a face mask. Additional consideration should be given to patients who already have DED. The possible concerns that incorrectly fitted facemasks may cause to the health of their ocular surface should be discussed with patients by ophthalmologists. Future research involving larger populations will shed light on the prevalence and scope of the mask-associated dry eye problem.

Introduction Deep Learning (DL) and Artificial Intelligence (AI) have become widespread due to the advanced technologies and availability of digital data. Supervised learning algorithms have shown human-level performance or even better and are better feature extractor-quantifier than unsupervised learning algorithms. To get huge dataset with good quality control, there is a need of an annotation tool with a customizable feature set. This paper evaluates the viability of having an in house annotation tool which works on a smartphone and can be used in a healthcare setting. Methods We developed a smartphone-based grading system to help researchers in grading multiple retinal fundi. The process consisted of designing the flow of user interface (UI) keeping in view feedback from experts. Quantitative and qualitative analysis of change in speed of a grader over time and feature usage statistics was done. The dataset size was approximately 16,000 images with adjudicated labels by a minimum of 2 doctors. Results for an AI model trained on the images graded using this tool and its validation over some public datasets were prepared. Results We created a DL model and analysed its performance for a binary referrable DR Classification task, whether a retinal image has Referrable DR or not. A total of 32 doctors used the tool for minimum of 20 images each. Data analytics suggested significant portability and flexibility of the tool. Grader variability for images was in favour of agreement on images annotated. Number of images used to assess agreement is 550. Mean of 75.9% was seen in agreement. Conclusion Our aim was to make Annotation of Medical imaging easier and to minimize time taken for annotations without quality degradation. The user feedback and feature usage statistics confirm our hypotheses of incorporation of brightness and contrast variations, green channels and zooming add-ons in correlation to certain disease types. Simulation of multiple review cycles and establishing quality control can boost the accuracy of AI models even further. Although our study aims at developing an annotation tool for diagnosing and classifying diabetic retinopathy fundus images but same concept can be used for fundus images of other ocular diseases as well as other streams of medical science such as radiology where image-based diagnostic applications are utilised.

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Isolated medial rectus palsy in an otherwise healthy individual is a very rare entity. However, this may point towards underlying systemic pathology. This is a case report of an otherwise healthy young adult male who presented with sudden onset non-progressive blurring of vision in right eye. A series of investigations were performed and the patient was diagnosed to have a rheumatological disorder. Isolated muscle palsies in young patient may be masking a systemic disorder and needs to be evaluated thoroughly.

In this era of cutting-edge research and digitalization, artificial intelligence (AI) has rapidly penetrated all subspecialties, including ophthalmology. Managing AI data and analytics is cumbersome, and implementing blockchain technology has made this task less challenging. Blockchain technology is an advanced mechanism with a robust database that allows the unambiguous sharing of widespread information within a business model or network. The data is stored in blocks that are linked together in chains. Since its inception in 2008, blockchain technology has grown over the years, and its novel use in ophthalmology has been less well documented. This section on current ophthalmology discusses the novel use and future of blockchain technology for intraocular lens power calculation and refractive surgery workup, ophthalmic genetics, payment methods, international data documentation, retinal images, global myopia pandemic, virtual pharmacy, and drug compliance and treatment. The authors have also provided valuable insights into various terminologies and definitions used in blockchain technology.

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