In this episode, we explore the future of continuing medical education (CME) with the team behind touchIME. Hannah Fisher and Matthew Goodwin share insights into global and US trends, the importance of patient inclusivity and how educational outcomes are evolving to better measure the direct impact of learning on clinical practice and patient care.
This episode explores the inspiring work of Orbis International, a nonprofit preventing blindness and restoring sight in underserved communities. Dr Maria Berrocal, Associate Professor and Orbis Volunteer Faculty, shares her experience aboard the Orbis Flying Eye Hospital, a fully equipped surgical and teaching hospital on an aircraft, and discusses the importance of global collaboration in building sustainable, high-quality eye care systems around the world.
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.
Dry eye disease (DED) is a prevalent ocular condition characterized by discomfort, visual disturbances and tear film instability due to insufficient tear production or rapid tear evaporation.1 With an increasing global incidence (i.e. up to 50%) and its significant impact ...
Welcome to the latest edition of touchREVIEWS in Ophthalmology, and my first as the journal’s Editor-in-Chief. In this issue, we are delighted to present a series of compelling articles providing insights into some of the cutting-edge developments in this ...
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 ...
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 ...
The common definition of telemedicine in general is the ability to remotely gain information about patients’ health by means of technological devices in order to determine the need for medical intervention.1 Publications regarding the possible role of telemedicine in diagnosis ...
We were delighted to speak with Kyoko Ohno-Matsui (Tokyo Medical and Dental University, Tokyo, Japan) about the potential advantages and limitations of a deep learning algorithm for automated detection of myopic maculopathy and pathologic myopia in fundus images, and the ...
The health of the corneal endothelium, the innermost single cell layer of the cornea, is essential in maintaining corneal transparency. This is achieved through a passive diffusion of fluid across leaky inter-cellular tight junctions from the aqueous humor into the ...
Tariq Aslam (Manchester Royal Eye Hospital, Manchester, UK) talks about the potential impact of deep learning algorithms, and the key challenges we face to bridge the gap to clincal application. Questions: 1. What impact have deep learning algorithms had to date ...
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