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    • Artificial Intelligence

    An Introduction to Artificial Intelligence

    Artificial Intelligence (AI) is revolutionizing ophthalmology, with advanced algorithms potentially improving diagnostic speed and accuracy for diseases like diabetic retinopathy and glaucoma. Additionally, AI holds promise in optimizing disease detection and treatment, aiding proactive interventions with predictive analytics and enhancing surgical precision through robotic systems. However, challenges such as data privacy and the need for regulatory oversight must be addressed to ensure the responsible and ethical integration of AI technologies into ophthalmic practice.

    Browse the content below, to see leading experts discuss the latest data in video interviews and short articles from our conference hub. You can also view the selection of peer-reviewed articles from our journals. If you’re looking to learn more about the impact of these developments on patient outcomes, our educational activities are a great resource.

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    Artificial Intelligence Content

    Artificial Intelligence, Cataract Surgery, Ocular Oncology, Retina/Vitreous
    What does the future hold for ophthalmology?

    We have seen plenty of innovation in ophthalmology, with researchers and clinicians making significant strides in how eye conditions are treated and managed. From improving drug delivery methods to harnessing the potential of gene and stem cell therapies, 2024 has been a year of promising progress across multiple areas. As we edge closer to 2025, we are eager to see what advancements will further improve vision and eye care. To envision what lies ahead, we turn to our expert editorial board to share their insights on the developments shaping the future of ophthalmology:

    Artificial Intelligence
    AI in oculomics shows potential for non-invasive cardiovascular risk assessment

    In a new study published in the Asia-Pacific Journal of Ophthalmology, researchers explored the use of artificial intelligence (AI) in oculomics for assessing cardiovascular risk factors through retinal imaging, specifically focusing on predicting HbA1c levels. The study demonstrates how AI could change healthcare, especially for diabetes management, by providing non-invasive methods to estimate this critical biomarker.

    Artificial Intelligence, Macular Degeneration
    Foreword: touchREVIEWS in Ophthalmology, Volume 18, Issue 1, 2024

    We are pleased to present the latest edition of touchREVIEWS in Ophthalmology. In this issue, we offer a series of engaging editorials, in-depth review articles and insightful original research highlighting some of the latest breakthroughs, innovations and practical insights in the dynamic field of ophthalmology. We begin with macular degeneration, where José-Alain Sahel et al. […]

    Artificial Intelligence
    Image of a brown eye
    Artificial Intelligence Chatbot Use in Ophthalmology
    Riley J Lyons, Sruthi Arepalli

    touchREVIEWS in Ophthalmology. 2024;18(1):9-13

    Recent advancements in publicly available artificial intelligence (AI) large language models (LLMs) have piqued the interest of the medical community. LLMs are ‘trained’ using massive datasets and can generate natural language text in response to free-text inputs. Conversational agents (chatbots), such as Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI), Microsoft’s Bing AI (Microsoft Corporation), and Google […]

    Artificial Intelligence
    Predictive Deep Learning Applications in Ophthalmology
    Neslihan Dilruba Koseoglu, TY Alvin Liu

    touchREVIEWS in Ophthalmology. 2023;17(2):23-27 DOI: https://doi.org/10.17925/USOR.2023.17.2.4

    The term ‘artificial intelligence’ was coined by a group of scientists during a workshop known as the “Dartmouth Summer Research Project on Artificial Intelligence” in 1956.1 The concept was based on the idea that “intelligent human behavior consisted in processes that could be formalized and reproduced in machine”.1 The subfield of machine learning (ML) aims to train […]

    Artificial Intelligence, Retina/Vitreous
    Artificial Intelligence for the Diagnosis and Screening of Retinal Diseases
    Alessandro Arrigo, Emanuela Aragona, Francesco Bandello

    touchREVIEWS in Ophthalmology. 2023;17(2):9-14 DOI: https://doi.org/10.17925/USOR.2023.17.2.1

    Article highlights Artificial intelligence (AI) represents a powerful way of analysing a large amount of data, extracting those features characterizing a given disease or condition. AI-based models have been largely tested in the main retinopathies, including age-related macular degeneration, diabetic retinopathy and myopia. AI algorithms have been highly effective in screening for retinopathies. The same […]

    Artificial Intelligence, Cataract Surgery
    Developed by Touch
    Mark Packer, ASCRS 2023: avoiding postoperative complications using artificial intelligence
    Watch Time: 7:56 mins

    Data that can be collected and interpreted by machine learning can be extremely helpful for identifying postoperative complication risks, according to Dr Mark Packer (Packer Research Associates, Inc., Boulder, CA, USA). Dr Packer talks to touchOPHTHALMOLOGY about the potential of this emerging technology in cataract surgery. The presentation entitled ‘Predicting Vision Outcomes in Cataract Surgery […]

    Artificial Intelligence, Cataract Surgery
    Developed by Touch
    Mark Packer, ASCRS 2023: artificial intelligence in cataract surgery
    Watch Time: 4:44 mins

    Artificial intelligence has huge potential to help cataract surgeons in the area of patient selection. Dr Mark Packer (Packer Research Associates, Inc., Boulder, CA, USA) gave us his insight into how machine learning can be applied in cataract treatment, to improve patient outcomes. The presentation entitled ‘Predicting Vision Outcomes in Cataract Surgery with Machine Learning’ […]

    Retina/Vitreous, Artificial Intelligence
    Paisan Ruamviboonsuk, EURETINA 2021: Artificial Intelligence in Ophthalmology

    It was a pleasure to speak with Paisan Ruamviboonsuk (Rajavithi Hospital, Bangkok, Thailand) about his views on artificial intelligence in ophthalmology, specifically for diagnosis and screening for polypoidal choroidal vasculopathy. Questions Could you give us a brief overview of your research in artificial intelligence (AI) in ophthalmology? (00:18) What is the potential of AI in […]

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