Reading and summarizing insights from Optical Coherence Tomography (OCT) images is a routine yet time-consuming task that requires expensive time from experienced ophthalmologists. This paper introduces the Multi-label OCT Report Generation (MORG) model, a…
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Ophthalmology, an early adopter of medical artificial intelligence (AI), has made significant advancements, but ethical discussions limited. This bibliometric analysis reviewed 498 publications from Web of Science and Scopus (2000–2023) to explore the evolution,…
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Artificial intelligence (AI) has become a fundamental tool for assisting clinicians in analyzing ophthalmic images, such as optical coherence tomography (OCT). However, developing AI models often requires extensive annotation, and existing models tend to…
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Glaucoma is a progressive disease that can lead to permanent vision loss, making progression prediction vital for guiding effective treatment. Deep learning aids progression prediction but may yield unequal outcomes across demographic groups. We…
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Foundation models for medical imaging are a prominent research topic, but risks associated with the imaging features they can capture have not been explored. We aimed to assess whether imaging features from foundation models…
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Optical coherence tomography (OCT) is an efficient tool for non-invasively evaluating retinal structures. Retinal thinning changes assessed using OCT are recognized as potential biomarkers for systemic conditions such as Alzheimer’s disease, Parkinson’s disease, and…
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Keratinocyte carcinoma, such as Actinic Keratosis (AK) and Basal Cell Carcinoma (BCC), share similar clinical presentations but differ significantly in prognosis and treatment, highlighting the importance of effective screening. Optical coherence tomography (OCT) shows…
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Walter and Eliza Hall Institute of Medical Research in Victoria, Australia led one of the largest eye studies in the world that used AI to analyse eye images of over 50,000 people to better understand the retina’s…
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Key Takeaways
Advanced software enables unprecedented visualization of embryonic heart development through 4D imaging technology. The open-source tool, called clipping spline, provides interactive cutaway views of complex biological structures, revolutionizing our understanding of cardiac development…
Glaucoma is the leading cause of irreversible blindness globally. Research indicates a disproportionate impact of glaucoma on racial and ethnic minorities. Existing deep learning models for glaucoma detection might not achieve equitable performance across…
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