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Large language modelsand their impact inophthalmology Bjorn Kaijun BetzlerHaichao ChenChing‐Yu Cheng2023 год

Large language models and their impact in ophthalmology
review

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Аннотация: The advent of generative artificial intelligence and large language models has ushered in transformative applications within medicine. Specifically in ophthalmology, large language models offer unique opportunities to revolutionise digital eye care, address clinical workflow inefficiencies, and enhance patient experiences across diverse global eye care landscapes. Yet alongside these prospects lie tangible and ethical challenges, encompassing data privacy, security, and the intricacies of embedding large language models into clinical routines. This Viewpoint highlights the promising applications of large language models in ophthalmology, while weighing up the practical and ethical barriers towards their real-world implementation. This Viewpoint seeks to stimulate broader discourse on the potential of large language models in ophthalmology and to galvanise both clinicians and researchers into tackling the prevailing challenges and optimising the benefits of large language models while curtailing the associated risks.
Год издания: 2023
Авторы: Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng, Cecilia S. Lee, Guochen Ning, Su Jeong Song, Aaron Lee, Ryo Kawasaki, Peter van Wijngaarden, Andrzej Grzybowski, Mingguang He, Dawei Li, An Ran Ran, Daniel Shu Wei Ting, Kelvin Yi Chong Teo, Paisan Ruamviboonsuk, Sobha Sivaprasad, Varun Chaudhary, Ramin Tadayoni, Xiaofei Wang, Carol Y. Cheung, Yingfeng Zheng, Ya Xing Wang, Yih‐Chung Tham, Tien Yin Wong
Издательство: Elsevier BV
Источник: The Lancet Digital Health
Ключевые слова: Retinal Imaging and Analysis, Artificial Intelligence in Healthcare and Education, COVID-19 diagnosis using AI
Другие ссылки: The Lancet Digital Health (PDF)
The Lancet Digital Health (HTML)
PolyU Institutional Research Archive (Hong Kong Polytechnic University) (PDF)
PolyU Institutional Research Archive (Hong Kong Polytechnic University) (HTML)
PubMed Central (HTML)
PubMed (HTML)