AIMC Topic: Eye
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Utility of artificial intelligence-based large language models in ophthalmic care.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Feb 25, 2024
PURPOSE: With the introduction of ChatGPT, artificial intelligence (AI)-based large language models (LLMs) are rapidly becoming popular within the scientific community. They use natural language processing to generate human-like responses to queries....
In silico prediction of ocular toxicity of compounds using explainable machine learning and deep learning approaches.
Journal of applied toxicology : JAT
Feb 8, 2024
The accurate identification of chemicals with ocular toxicity is of paramount importance in health hazard assessment. In contemporary chemical toxicology, there is a growing emphasis on refining, reducing, and replacing animal testing in safety evalu...
Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study.
JMIR mental health
Feb 6, 2024
BACKGROUND: Mentalization, which is integral to human cognitive processes, pertains to the interpretation of one's own and others' mental states, including emotions, beliefs, and intentions. With the advent of artificial intelligence (AI) and the pro...
Grounded language acquisition through the eyes and ears of a single child.
Science (New York, N.Y.)
Feb 1, 2024
Starting around 6 to 9 months of age, children begin acquiring their first words, linking spoken words to their visual counterparts. How much of this knowledge is learnable from sensory input with relatively generic learning mechanisms, and how much ...
Leveraging ChatGPT for ophthalmic education: A critical appraisal.
European journal of ophthalmology
Nov 16, 2023
In recent years, the advent of artificial intelligence (AI) has transformed many sectors, including medical education. This editorial critically appraises the integration of ChatGPT, a state-of-the-art AI language model, into ophthalmic education, fo...
Prediction of activity in eyes with macular neovascularization due to age-related macular degeneration using deep learning.
Eye (London, England)
Oct 26, 2023
Eye-mounting goggles to bridge the gap between benchtop experiments and in vivo robotic eye surgery.
Scientific reports
Sep 19, 2023
A variety of robot-assisted surgical systems have been proposed to improve the precision of eye surgery. Evaluation of these systems has typically relied on benchtop experiments with artificial or enucleated eyes. However, this does not properly acco...
AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook.
Eye (London, England)
Sep 14, 2023
Cardiovascular disease (CVD) remains the leading cause of death worldwide. Assessing of CVD risk plays an essential role in identifying individuals at higher risk and enables the implementation of targeted intervention strategies, leading to improved...
Deep learning-based postoperative visual acuity prediction in idiopathic epiretinal membrane.
BMC ophthalmology
Aug 21, 2023
BACKGROUND: To develop a deep learning (DL) model based on preoperative optical coherence tomography (OCT) training to automatically predict the 6-month postoperative visual outcomes in patients with idiopathic epiretinal membrane (iERM).
Deep learning for automated detection of neovascular leakage on ultra-widefield fluorescein angiography in diabetic retinopathy.
Scientific reports
Jun 6, 2023
Diabetic retinopathy is a leading cause of blindness in working-age adults worldwide. Neovascular leakage on fluorescein angiography indicates progression to the proliferative stage of diabetic retinopathy, which is an important distinction that requ...
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