Publications by authors named "Andrzej Grzybowski"

Purpose: Previous animal studies have found a relationship between spatial frequency and myopia. New research in humans suggest that reduced high spatial content of the visual environment may be a contributing factor for myopia development. This study aims to review the literature and elucidate the potential biological mechanisms linking spatial frequency and myopia.

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Glaucoma is a leading cause of irreversible blindness worldwide. It leads to the progressive degeneration of retinal ganglion cells (RGCs), the axons of which form the optic nerve. Enormous RGC apoptosis causes a lack of transfer of visual information to the brain.

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Purpose: To compare two artificial intelligence (AI)-based Automated Diabetic Retinopathy Image Assessment (ARIA) softwares in terms of concordance with specialist human graders and referable diabetic retinopathy (DR) diagnostic capacity.

Methods: Retrospective comparative study including 750 consecutive diabetes mellitus patients imaged for non-mydriatic fundus photographs. For each patient four images (45 degrees field of view) were captured, centered on the optic disc and macula.

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The prevalence of myopia, especially high myopia, continues to increase in several parts of the world. Thus, the use of biomarkers for early myopia detection would be highly valuable for clinical practice aiding in the prevention and myopia control management. The identification of biomarkers that can predict the risk of myopia development, severity of myopia, and treatment response are of paramount significance.

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The purpose of this study was to: (a) investigate the comorbidities of major sight-threatening eye disorders with mental disorders, (b) investigate the associations and prevalence of reported comorbidities and (c) identify potential influencing factors. A systematic review of the PubMed, Embase, Web of Science and Cochrane Library databases was conducted from inception to 30 December 2023. Studies that presented only laboratory results or used non-representative sampling methods were excluded.

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Background: This study aimed to identify DNA methylation biomarkers associated with myopia using summary-data-based Mendelian randomization (SMR).

Methods: A systematic search of the PubMed, Web of Science, Cochrane Library, and Embase databases was conducted up to March 27, 2024. SMR analyses were performed to integrate genome-wide association study (GWAS) with methylation quantitative trait loci (mQTL) and expression quantitative trait loci (eQTL) studies.

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Purpose: To compare 7 artificial intelligence (AI)-based intraocular lens (IOL) power calculation formulas in extremely long eyes.

Design: Retrospective accuracy and validity analysis.

Setting: Kyiv Clinical Ophthalmology Hospital Eye Microsurgery Center, Ukraine.

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Introduction: Cataracts are a significant cause of blindness. While individuals frequently turn to the Internet for medical advice, distinguishing reliable information can be challenging. Large language models (LLMs) have attracted attention for generating accurate, human-like responses that may be used for medical consultation.

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Background: Presbyopia, a common age-related condition affecting near vision, impacts over a billion people worldwide. The aim of this paper is to review the main reports and results of clinical trials, comparing the newest pharmacological treatment options for presbyopia, their mechanisms of action, and possible side effects.

Main Text: Pharmacological approaches, involving eye drops that target the underlying mechanisms of presbyopia, have gained growing interest.

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Introduction: Automated diabetic retinopathy (DR) screening using artificial intelligence has the potential to improve access to eye care by enabling large-scale screening. However, little is known about differences in real-world performance between available algorithms. This study compares the diagnostic accuracy of two AI screening platforms, IDx-DR and RetCAD, for detecting referable diabetic retinopathy (RDR).

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Purpose Of Review: This review summarizes the evidence on the effect of intraocular lens (IOL) material on the outcomes of cataract surgery, as well as on the surgical procedure itself.

Recent Findings: Differences in capsular biocompatibility between IOL materials lead to variations in capsular stability and posterior capsule opacification (PCO), while differences in uveal biocompatibility affect postoperative inflammatory response.

Summary: Refractive outcomes are affected by both incision size and the rotational stability of toric IOLs.

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Article Synopsis
  • - Pet ownership is linked to a higher risk of dry eye symptoms (DES), with a prevalence of 43.6% found in a study of 21,916 Chinese residents aged over 12 during a nationwide survey.
  • - The study revealed that pet owners had a 13% increased risk of developing DES, which was even higher among elderly (28% increase) and urban residents (13% increase).
  • - The interaction between pet ownership and allergic rhinitis showed a significant combined effect on DES, indicating potential common underlying mechanisms between these conditions.
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: The use of artificial intelligence (AI) in dermatology is expanding rapidly, with ChatGPT, a large language model (LLM) from OpenAI, showing promise in patient education, clinical decision-making, and teledermatology. Despite its potential, the ethical, clinical, and practical implications of its application remain insufficiently explored. This study aims to evaluate the effectiveness, challenges, and future prospects of ChatGPT in dermatology, focusing on clinical applications, patient interactions, and medical writing.

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Article Synopsis
  • Researchers studied articles about using artificial intelligence (AI) to help with skin cancer from 2010 to 2022 to see how much it's being published and where it's headed in the future.
  • They found that the number of publications about AI in skin cancer grew a lot, especially by the USA, India, and China, with the journal IEEE Access having the most articles.
  • The study also showed that many researchers are focusing on using deep learning for diagnosing melanoma, which is a type of skin cancer, and this area of research is expected to keep growing to help improve skin cancer detection and treatment.
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of advanced diagnostic methods shed the light on the variable course of age-related macular degeneration (AMD). Despite establishing AMD classifications used in clinical practice, there are still forms of AMD that do not fit into these systems. The case report presents a rare evolution of non-neovascular form of AMD presenting at baseline as large soft drusen.

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The year 2024 marks the 170th anniversary of the journal Graefe's Archive for Clinical and Experimental Ophthalmology. The journal is the first printed journal specializing in ophthalmology, founded by Albrecht von Graefe (1828-1870) in 1854. The reason behind creating the journal was to publish useful clinical information and develop discussion and debate among ophthalmologists and vision scientists.

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Article Synopsis
  • New AI technologies can help doctors better manage glaucoma by improving how they screen and diagnose the disease, but there are challenges to overcome.* -
  • Creating AI programs is tough because they need a lot of data, but it can be hard to get good data and doctors might not trust them since they don't always show how they work.* -
  • Future improvements in AI might include protecting patient data and using smartphones more in healthcare, which could change how doctors help patients with glaucoma.*
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A large language model (LLM) is an artificial intelligence (AI) model that uses natural language processing (NLP) to understand, interpret, and generate human-like language responses from unstructured text input. Its real-time response capabilities and eloquent dialogue enhance the interactive user experience in human-AI communication like never before. By gathering several sources on the internet, LLM chatbots can interact and respond to a wide range of queries, including problem solving, text summarization, and creating informative notes.

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Purpose: To generate an overview of global research on artificial intelligence (AI) in eyelid diseases using a bibliometric approach.

Methods: All publications related to AI in eyelid diseases from 1900 to 2023 were retrieved from the Web of Science (WoS) Core Collection database. After manual screening, 98 publications published between 2000 and 2023 were finally included.

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The selection of an appropriate formula for intraocular lens power calculation is crucial in phacoemulsification, particularly in pediatric patients. The most commonly used formulas are described and their accuracy evaluated in this study. This review includes papers evaluating the accuracy of intraocular lens power calculation formulas for children's eyes published from 2019-2024.

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Background/aims: Animal models have shown that the absence of high-frequency visual information can precipitate the onset of myopia, but this relationship remains unclear in humans. This study aims to explore the association between the spatial frequency content of the visual environment and myopia in children.

Methods: Images from the rooms of children and their frequently visited outdoor areas were taken by their parents and collected by the researcher through questionnaires.

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